2,232 research outputs found
Evaluating Citebase, an open access Web-based citation-ranked search and impact discovery service
No full textCitebase is a new citation-ranked search and impact discovery service that measures citations of scholarly research papers which are openly accessible on the Web, i.e. papers that are assessable continuously online. Other services, such as ResearchIndex, have emerged in recent years to offer citation indexing of Web research papers. In the first detailed user evaluation of an open access Web citation indexing service, Citebase has been evaluated by nearly 200 users from different backgrounds. The paper details the procedures used in the evaluation, and analyses the results of this study, which took place between June and October 2002. It was found that within the scope of its primary components, the search interface and services available from its rich bibliographic records, Citebase can be used simply and reliably for the purpose intended, and that it compares favourably with other bibliographic services. It is shown tasks can be accomplished efficiently with Citebase regardless of the background of the user. More data need to be collected and the process refined before it is as reliable for measuring citation impact of indexed papers. Better explanations and guidance are required for first-time users. Coverage is seen as a limiting factor, even though Citebase indexes over 200,000 papers from arXiv. Non-physicists were frustrated at the lack of papers from other sciences. The principle of citation searching of open access archives has thus been demonstrated and need not be restricted to current users. Since the evaluation, Citebase has become a featured service of the ArXiv physics eprint archives
Caribbean Report 09-07-1996
No full text1. Headlines (00:00-00:27)2. The Bahamas and the Turks and Caicos are preparing to bear the brunt of hurricane Bertha (00:28-05:38)3. Jamaica's Prime Minister P.J. Patterson is hopeful to an end to garrison politics. Prime Minister P. J. Patterson and Dr Stephen Vasiani, New Democratic Movement are interviewed (05:39-09:58)4. Britain's black community in Brixton looks forward to the visit of President Mandela. Tim Donovan reports (09:59-12:46)5. Fast bowler Devon Malcolm has been excused from Wednesday's match against Kent in order to meet with his hero Nelson Mandela. Cricket Writer for the London Gardian David Hopps reports (12:47-15:23
Catholic Comments Podcast.
No full textAuthor Tim Rinaldi discusses his mission work in Honduras and how it changed his life and perspective
Accepting Optimally in Automated Negotiation with Incomplete Information (abstract)
No full textIntelligent SystemsElectrical Engineering, Mathematics and Computer Scienc
What to bid and when to stop
No full textNegotiation is an important activity in human society, and is studied by various disciplines, ranging from economics and game theory, to electronic commerce, social psychology, and artificial intelligence. Traditionally, negotiation is a necessary, but also time-consuming and expensive activity. Therefore, in the last decades there has been a large interest in the automation of negotiation, for example in the setting of e-commerce. This interest is fueled by the promise of automated agents eventually being able to negotiate on behalf of human negotiators.Every year, automated negotiation agents are improving in various ways, and there is now a large body of negotiation strategies available, all with their unique strengths and weaknesses. For example, some agents are able to predict the opponent's preferences very well, while others focus more on having a sophisticated bidding strategy. The problem however, is that there is little incremental improvement in agent design, as the agents are tested in varying negotiation settings, using a diverse set of performance measures. This makes it very difficult to meaningfully compare the agents, let alone their underlying techniques. As a result, we lack a reliable way to pinpoint the most effective components in a negotiating agent.There are two major advantages of distinguishing between the different components of a negotiating agent's strategy: first, it allows the study of the behavior and performance of the components in isolation. For example, it becomes possible to compare the preference learning component of all agents, and to identify the best among them. Second, we can proceed to mix and match different components to create new negotiation strategies., e.g.: replacing the preference learning technique of an agent and then examining whether this makes a difference. Such a procedure enables us to combine the individual components to systematically explore the space of possible negotiation strategies.To develop a compositional approach to evaluate and combine the components, we identify structure in most agent designs by introducing the BOA architecture, in which we can develop and integrate the different components of a negotiating agent. We identify three main components of a general negotiation strategy; namely a bidding strategy (B), possibly an opponent model (O), and an acceptance strategy (A). The bidding strategy considers what concessions it deems appropriate given its own preferences, and takes the opponent into account by using an opponent model. The acceptance strategy decides whether offers proposed by the opponent should be accepted.The BOA architecture is integrated into a generic negotiation environment called Genius, which is a software environment for designing and evaluating negotiation strategies. To explore the negotiation strategy space of the negotiation research community, we amend the Genius repository with various existing agents and scenarios from literature. Additionally, we organize a yearly international negotiation competition (ANAC) to harvest even more strategies and scenarios. ANAC also acts as an evaluation tool for negotiation strategies, and encourages the design of negotiation strategies and scenarios.We re-implement agents from literature and ANAC and decouple them to fit into the BOA architecture without introducing any changes in their behavior. For each of the three components, we manage to find and analyze the best ones for specific cases, as described below. We show that the BOA framework leads to significant improvements in agent design by wining ANAC 2013, which had 19 participating teams from 8 international institutions, with an agent that is designed using the BOA framework and is informed by a preliminary analysis of the different components.In every negotiation, one of the negotiating parties must accept an offer to reach an agreement. Therefore, it is important that a negotiator employs a proficient mechanism to decide under which conditions to accept. When contemplating whether to accept an offer, the agent is faced with the acceptance dilemma: accepting the offer may be suboptimal, as better offers may still be presented before time runs out. On the other hand, accepting too late may prevent an agreement from being reached, resulting in a break off with no gain for either party. We classify and compare state-of-the-art generic acceptance conditions. We propose new acceptance strategies and we demonstrate that they outperform the other conditions. We also provide insight into why some conditions work better than others and investigate correlations between the properties of the negotiation scenario and the efficacy of acceptance conditions.Later, we adopt a more principled approach by applying optimal stopping theory to calculate the optimal decision on the acceptance of an offer. We approach the decision of whether to accept as a sequential decision problem, by modeling the bids received as a stochastic process. We determine the optimal acceptance policies for particular opponent classes and we present an approach to estimate the expected range of offers when the type of opponent is unknown. We show that the proposed approach is able to find the optimal time to accept, and improves upon all existing acceptance strategies.Another principal component of a negotiating agent's strategy is its ability to take the opponent's preferences into account. The quality of an opponent model can be measured in two different ways. One is to use the agent's performance as a benchmark for the model's quality. We evaluate and compare the performance of a selection of state-of-the-art opponent modeling techniques in negotiation. We provide an overview of the factors influencing the quality of a model and we analyze how the performance of opponent models depends on the negotiation setting. We identify a class of simple and surprisingly effective opponent modeling techniques that did not receive much previous attention in literature.The other way to measure the quality of an opponent model is to directly evaluate its accuracy by using similarity measures. We review all methods to measure the accuracy of an opponent model and we then analyze how changes in accuracy translate into performance differences. Moreover, we pinpoint the best predictors for good performance. This leads to new insights concerning how to construct an opponent model, and what we need to measure when optimizing performance.Finally, we take two different approaches to gain more insight into effective bidding strategies. We present a new classification method for negotiation strategies, based on their pattern of concession making against different kinds of opponents. We apply this technique to classify some well-known negotiating strategies, and we formulate guidelines on how agents should bid in order to be successful, which gives insight into the bidding strategy space of negotiating agents. Furthermore, we apply optimal stopping theory again, this time to find the concessions that maximize utility for the bidder against particular opponents. We show there is an interesting connection between optimal bidding and optimal acceptance strategies, in the sense that they are mirrored versions of each other.Lastly, after analyzing all components separately, we put the pieces back together again. We take all BOA components accumulated so far, including the best ones, and combine them all together to explore the space of negotiation strategies.We compute the contribution of each component to the overall negotiation result, and we study the interaction between components. We find that combining the best agent components indeed makes the strongest agents. This shows that the component-based view of the BOA architecture not only provides a useful basis for developing negotiating agents but also provides a useful analytical tool. By varying the BOA components we are able to demonstrate the contribution of each component to the negotiation result, and thus analyze the significance of each. The bidding strategy is by far the most important to consider, followed by the acceptance conditions and finally followed by the opponent model.Our results validate the analytical approach of the BOA framework to first optimize the individual components, and then to recombine them into a negotiating agent
Teaching English : some remarks on the emergence of the sympathetic teacher in the English classroom
No full textThe chapter explores the concept of the teacher-student relationship within the English classroom and proposes that this relationship has a specific purpose in building a civil society by inculcating practices of self-reflection, empathy and ethics. The topic is explored through the example of teaching Australian literature, specifically, Tim Winton’s Lockie Leonard, Human Torpedo to secondary school students. Ian Hunter’s work on literature education and the construction of socio-ethical practices provides a conceptual framework for the chapter
Reviews
No full text1977 Tolkien Calendar. Greg and Tim Hildebrandt. Reviewed by Nancy-Lou Patterson.
The Lord of the Rings 1977 Calendar. Illustrations by J. R. R. Tolkien, notes by Christopher Tolkien. Reviewed by Nancy-Lou Patterson.
Adventure, Mystery, and Romance: Formula Stories as Art and Popular Culture. John G. Caweiti. Reviewed by Joe R. Christopher.
Encyclopedia of Mystery and Detection. Chris Steinbrunner and Otto Penzler (eds.). Reviewed by Joe R. Christopher.
The Father Christmas Letters. John Ronald Reuel Tolkien. Reviewed by Martha and Laurence Krieg.
The Middle-earth Song- book. Ruth Berman and Ken Nahigian (eds.). Reviewed by George Colvin.
From Elfland to Poughkeepsie. Ursula K. Le Guin. Reviewed by George Colvin.
Camber of Culdi. Katherine Kurtz. Reviewed by George Colvin
Gilbert Patterson Community School Yearbook 1987
No full textThe annual publication of the students of Gilbert Patterson Community School, Lethbridge, Alberta (Volume 1986-87)pdfVEVJCM10K
"Ive've Only Juit Begun" li
dedicated to the. memory of,
Clinton Hall. Clinton'i active
Involvement and enthuilaim to
leaan li Indeed an example vie
all ihould neipect and model.
Clinton - uie ihall think o{ you of,ten,
and nemembesi you almiayi.
GILBERT PATKUSCK
F SCHOOL II - ai 3~ bn
Yearbook Staff
YEARBOOK STAFF '86 - '87
Yei, we've only ju.it begun to hope, that
thti yean’i yeanbook pnovtdei you with the many
excellent memonlei we've expenteneed hene at
Gtlbent Patenion. 0/tth tnenedtble ita££ ehangei and
new fionmat we have had iome iet baeki. Yet,
with gneat aiiiitanee ^nom oun new £ound photognaphen,
Mn. Sehueant and a lot of, teamwonk we ane pleaied
to pneient "lue've Only Juit Begun".
^Jlll II III IIIII Hill II III II III l[^
ft/e'ue. Only Juit Begun
(jue’ve only ju.it begun.......... to live
Vuhite lace and pwmliei
A kLii tuck and we'ne on out way.
bie've only juit begun
Bejofitthe iLiLng iun - we (,ly
So many wadi to chooie
hue itait ohh walking and leann to wn
\nd yei we've we juit begun.
Slwnlng Honlzoni that aw new to ui
(Matching the ilgni atong the way
Tatktng it oven juit the two oh ui
(Mocking together day to day
Together. Together.
hnd when the evening comei, we imile
So much oh Uhe ahead
(Me'll hind a place whew thew Li worn to gww.
\nd yei we've juit begun!!
GPCS 87
President PRESIDENT'S MESSAGE
Looking back over this year, our school
has changed a lot with our new bandroom,
renovated shop, the new six-day rotation
system and our new teachers. I think this all
helped in making our school the best it has been
since I've been here. I really had a great time
being president and believe me, it's not easy!
I had fun planning and organizing events over the
year and I hope you all enjoyed it as much as I
did.
As we, the grade nine's go on to grade ten,
I don't think we'll ever forget this super school!
For those of you who are staying for another one
or two years good luck and keep our school the
best ever!
Sincerely,
Leah Schipper
VICE PRESIDENT'S MESSAGE
Another great year has gone by, but this year was exceptional. The
participation and school spirit really made Paterson shine.
Many people in our community realized that our school is a place that
welcomes them. We, as a student body and staff, worked to ensure we
emphasized the community theme.
Being vice president has meant a lot of hard work but the position
was very rewarding. I've had a lot of new, enjoyable experiences. I
would encourage others to support Student Council activities.
I would like to express my appreciation to all the people who helped
out in the many school events. To the teachers for their support and
the students for their awesome participation. These people make Paterson
great.
In future years I'm sure this 86/87 school year will be looked back
on as one to remember. Our achievements were many and will be even greater
as "We've only just begun".
Good luck to all in your quest for success.
Sincerely,
Meg Thompson
IM NCT R£ACY
FOR THIS'
Student Council
Emily Campbell, Brenda Wong, Allison Townsend, Katrina
Tanne, Joanne Paterson, Krista Beny, Jenny Murphy.
Nathan Baines, Graham Maryancik, Patrick Cheng, Christie
Beswick, Jody Neufeld.
Joel Nowlin, Brett Walters, Mike Fletcher, Mr. Stevenson.
ivncL ^errrtiMi ...
Principal’s Message
"You've only just begun. .
to this line of the song from which y
Although you are completing your
years at Gilbert Paterson Community
School, you hold the key to all of
the future which stretches ahead of
you. What you achieve and the
level of satisfaction and
happiness which you obtain in the
years to come will be significantly
affected by the decisions that you
make today.
There are some keys to
personal success that have proven
themselves over the years. Look
to the future with optimism and cultivate a positive mental attitude.
Success is much more elusive for the individual with a sour
disposition. You will have successes and you will have failures to
be sure. Remember to view each as a learning experience.
Strive to be the best that you can be. On the track, races
are won and lost by mere split seconds - this is the difference between
glory and tears. It is the same in life. Striving to be a "little bit
better" can make the difference.
People tend to get what they expect from themselves and
others. Therefore, expect the best from yourself and from those
around you.
And most importantly - be a friend to yourself. You are
special - act that way.
Even though "you've only just begun" you can look forward
with great anticipation to a very bright future indeed. In the words
of the great Scottish bard:
'May the roads rise to meet you
May the wind be always at your back. . .
and may God hold you in the hollow of His
Administration
I 1
Mr. P. Stevenson
Mr. D. Groft
Mr. R. Lewis (Principal)
Mr. M. Schuchardt
Life without teachers wouioi
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8E
Christie Beswick
Lesa Carmichael
Paul Carter
Mike Castleton
Debbie Chow
Adrian Crow
Ronald Denhoed
Raquel Fudra
Raymond Giese
PameI a Green
Shannon Ha I I
Adam Henderson
Dagan King
David Krueger
David Kunst
Anna Kuru luik
Shawn Leitch
Scott Mills
Broadie Murphy
Kerry Nagata
Kurt Otto
MitcheI I Pierson
Lyndi Pollock
Richard Revesz
Barbi Rice
Lisa Snee
Donna Stevenson
Sheyna Stickel
Destiny Svennes
Fred Tam
I A
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Michelle Ward
Leana Webber
8F
Margot Allison
Shawna Bai ley
Chris Bankonin
Susan Cameron
Freeman Choi
Cameron Court
Claire Crooks
Brain Fletcher
Karen Harrington
Tanya Jackson
Dam lo Jurisich
Grant Krywolt
Jud Lewis
Bryan Liska
Becky Little
Anne-Marie Mediwake
Dale Nielsen
Keith Norton
Shauna Oler
Nova Pierson
Jared Pierson
Chris Pratt
Todd Simpson
Sandra Spackman
Scott Stevens
Glenda Stirling
Sanjeev Visvanatha
Kelli Wolsey
Doug Yoshida
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9A
Launa Barfuss
Barb Cooper
Spencer Court
Jason Crowchief
Steven De Groot
Joe I Dyck
Don F letcher
Tanya Fortin
Jason Gough
Mark How
Jason Kirkman
Darren Kramble
Kelly Kyle
Jenny Leavitt
David Manser
Dionne Maple
Deana McFadden
Brent Newman
Duncan Purvis
Cary Rice
EIka SchoIdra
Scott Taylor
Jason Turner
Jason Wiebe
Brenda Wong
Cheryl Wong
Peter Wright
91
Krista Beny
Debb Carpenter
Lesley Coutts
Natasha Evdodimoff
John Gordon
Vera Gracey
Stacey Gupton
Danny Hermon
Trevor HeggedaI
Naomi Huxley
Bengt Jericho
Chris Johnstone
Lisa Jones
Glen Kaszuba
Shannon Lemire
Chris Liska
Penkye Parchang
Bonnie Regier
Doug Schow
Juanita Shouting
Jennifer Stengl
Maegan Thompson
Craig Vanroon
Lisa Wiebe
M CflVIRm?
9C
Chad Be 1 I
Shane Bowkett
Cheri Brown
Brad Carrier
Barry Christopherson
Scott Dunn
Kris French
Debra Groothuis
Christine Gurr
Lianne Harris
Evelyn Hunt
Stuart Huxley
Kurt Kenny
Kristina Koenig
Robin McHugh
Jennifer Mi Her
Stephanie MuendeI
Joel Nowlin
Joanne Paterson
Jennifer Schroeder
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9D
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Josh Ah lert
CarmeI I Bokvist
Emi ly CampbeI I
Cam David
Garth Davidson
Wi 11iam Gardiner
Joyce Gi I lespie
Kent Gurski
Brad Harsch
Tim Hosken
Sandra Howe
Ji I I Kaszuba
Troy Kreutz
Danny Krueger
Mike Layton
Carrie-Lynn Neuteld
Troy Nixey
Si las Potter
Wende I I Rusnack
Leah Schipper
•2
Scott Ti llotson
Shawn Wasi lenko
Stacy Willi ams
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9E
Dionne Aspeslet
Jamie Bagu
Derek Boucher
Cory Carson
Bart Chudleigh
Kyle Cook
Renata Frank
Cory Ha 11
KorneIi a Harms
Sheryl-Rae Harrison
Steven Isele
Leroy Jones
Nicole Kleinmark
Shannon McDonald
Theresa Mickey
Jennifer Murphy
Tracy Perrotta
Byron Pierson
Susan Schmidt
Renae Schweigert
David Trockstad
Richard Walker
Lori Yantz
"I'll never forget the time you strapped me for
talking in class."
9F
Patricia Appleton
Kari Berent
Jane Cho
Vicki Cormack
Dawna De Maere
Dorothy Dick
Shawna Duda
Michael Evans
Elizabeth Fitzner
Eric Herget
Scott Hironaka
Jay Jordan
Massie Kitagawa
Michelie KorneIsen
Danny Laycock
Robert Luciani
Erick Mah
Cindy Munro
Jason Murray
Tracey Nie Isen
KeIly Penner
Miche l le Rothe
Leslie Sheppart
Dianne Spooner
Barbara Stewart
Tracy Takahashi
Katrina Tanne
Pamela Thompson
Allison Townsend
Sarah Townsend
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Cross-Country
Cheerleaders
Junior
Senior
Seniors
Junior Senior
Girls’
Junior Senior
Badminton
Grade 9
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Options 7,8,&9
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OUTDOOR
education
FRENCH
BAND
COMPUTERS
Clubs
Clubs
Clubs
Clubs
BOTTOM: Craig Van Roon, Spencer Court, Danny Harmon,
Garth Davidson
Kelly Penner, Marianne Ward, Joyce Dong, Mr. Iwassa,
Michelle Ward, Rhonda Neufeld, Pam Green
Serge Gowans, Graham Maryancik, Darren Ferby, Murray
MacLennan, Colin Wiebe
MIDDLE:
TOP:
MOVIE CLUB
BOTTOM: Karen Sinclair, Mr. Snee, Lisa Snee, Jodi Gordon
MIDDLE: Max McCuaig, Scott Dunn, Maurice Lizee, Geoff Lacny,
Bill Dunn
2ND FR. TOP: Mark Rausch, Nathan Baines, Rob Wood, Chris
Donaldson, Scott Mills, Kent Nagata
TTOOPP:: Brian Liska
TQtjEViEfc...
BADMINTON CLUB
DANCE COMMITTEE
BOTTOM: Eric Herget, Duncan Purvis,
Doug Schow, Debb Carpenter
TOP: Katrina Tanne, Don Fletcher,
Mr, Stevenson, Joanne Paterson
BOTTOM: Tamara Hamilton, Staci Matkin, Jolaine White,
Tanya Jackson, Karen Karl
TOP: Brandi Smith, Renee Ketcheson, Jodi Vanderzee,
Mrs. Arthur, Elaine Yung, Krista Dorchak
CHESS CLUB
BOTTOM: Jason Murray, Kris Whitehead, Travis
Dorchak, Mike Miller, - , - , Danilo Jurisich
Connie Harms
MIDDLE: Blaire McMurren, Bob Beaton, Jerry
Stewart, -, -, Mrs. Jurisich
TOP: Richard Walker, Rodney Kornelson, Jud
Lewis, Shannon Lemire, -, Glen Kaszuba
STAGE BAND
BOTTOM: Jay Jordan, Trevor Groves, Mr. Scales, Brian
Fletcher, Lianne Harris
MIDDLE: Jane Cho, Michelle Kornelson, Chris Pratt,
Jamie Bagu, Colin Wiebe
TOP: Tim Hosken, Sanjeev Visvanatha, Jud Lewis,
Jason Lisowich, Scott Stevens, Doug Yoshida,
Clayton Hironaka, Massie Kitagawa
DANCE DECORATIONS
BOTTOM: Sonja Sage, Cheryl Harsch, Jenny Chapman
Tammy Crundwell, Kendra Beny, Allison Conley,
Donna Phillips
MIDDLE: Vanessa Chang, Tamara Hamilton, Susanne
Liska, -, Heather Hahn, Paul Carter, Christi
Beswick, Kathryn McLaine, Lisa Struble, Joyce
Dong
TOP: Chris Burgis, -, Jory Kohn, Michelle
Schultz, Tammy Friesen, Susan Cameron
GRAD COMMITTEE
BOTTOM: Dionne Aspeslet, Scott Tamblyn,
Jill Kaszuba, Chris Liska, Jenny
Levitt
TOP: Mr. Stevenson, Barb Stewart,
Joanne Paterson, Lori Yantz,
Katrina Tanne, Joel Nowlin,
Emily Campbell, Krista Beny,
Scott Kironaka, Duncan Purvis,
Kerri-Lynn Neufeld
Mr. Groft, Tracy Neilson, Claire Crooks, Allison Townsend,
Sarah Townsend, Massie Kitagawa, Candace Hebert.
CLASS OF 87 - VALEDICTION
Ladlei, Gentlemen, Parenti, Teachen, and fellow Graduates.
You know, the. brain is a wonderful thing. Ft itarti to work the.
moment we ate born and never itopi until we have to ipeak In public!
Hopefully, I can live up to the honor that you have given to me
tonight.
The theme &or this grade nine graduation is "Never Say Goodbye",
dihen I began to think about thoie wordi and what I would iay tonight
I remembered the 'Beetlei' iong 'Hello-Goodbye". 1^ we Never Say
Goodbye, then let'i Alwayi Say Hello.
Aeron Canada thli June, there will be many grade nine itudenti
graduating, die itudenti at Gilbert Patenon are like theie other
itudenti. Flrit, we are teenagen and parenti you know what that
meani! Secondly, teenagen have many concern about the world
iltuatlon and our future. Afiter all we are the future, die hear
about Nuclear diar^are, Crime, High Unemployment Ratei, Vrugi and
Aldi and It worrlei ui. die know that we tface many challenges and
that the road ahead will not be eaiy becauie THE ROAD TO SUCCESS IS
OFTEN UNDER CONSTRUCTION! Much like the roadi around here!
Gilbert Patenon hai prepared ui to iay 'HELLO' and greet
new Mlleitonei ai we reach them, die will Never Say Goodbuye to our
Junior High yean, but we know we muit move on. Next tfall many
o& ui will be attending L.C.l. die will iay "Hello L.C.l. ' die had
a iuperlor education at Gilbert Patenon. Our teachen taught ui
well. I(J we didn't alwayi iay 'HELLO' to their teachlngi and Ideai,
we can only blame ounelvei. Thank you teachen &or your guidance
and patience over the yean, die will 'Never Say Goodbye' to the
cualitlei and valuei which you have given to ui .
In iome wayi we are like Christopher Columbui. Can you Imagine
how he ^elf? He didn't know where he wai going, he didn't know
where he wai when he got there and he didn't know where he had been
when he got back! die alio don't know what llei ahead, but we are
prepared (,or the journey becauie our teachen and parenti have 'Never
Sold Goodbye'. They have alwayi encouraged ui to keep trying. Along
the way we will be iaylng 'HELLO' to new teachen, new rfrlendihlpi, ano
new ioclal activities. die will be ipreadlng our wlngi a little more.
Parenti, we will need your love and guidance 'and the car keyi'!
Ai with all teenagen there will be timei when we wilt not alwayi iee
'Eye to Eye' but ij, we can keepthe tlnei of, communication open and
alwayi iay 'HELLO' we’ll (,lnd the pot oj, gold at the ralnbow'i end.
And now fellow graduates. In the iprlngtlme gardnen plant
their ieedi. Here are a £ew tipi to achieve the garden ofi iucceii.
Flrit, plant three rowi o{, Peai ! PERSEVERANCE, PREPERAT1ON,
PROMPTNESS and PUNCTUALITY. The tail one is eipeclatty (,or my
twin iister.
Next plant three rowi o£ Squaih: SQUASH GOSSIP, SQUASH CRITICISM
and SQUASH INDIFFERENCE.
Then plant ^our rowi of, Lettuce: LET US BE FAITHFUL TO diHAT diE
HAVE LEARNED AT GILBERT PATERSON, LET US BE UNSELFISH AND LOYAL, LET
US BE TRUE TO OUR FRIENDS and LET US LOVE ONE ANOTHER.
And o{, counie a garden would not be complete without a row o< we 'Never Say Goodbye' to theie qualities we will harveit
a very happy tlfie.
STUART HUXLEY
THANK YOU TEACHERS AWP GILBERT PATERSON SCHOOL.
THANK YOU PARENTS.
ANV FELLOQ/ GRADUATES REMEMBER........ NEVER SAM GOODWE, ALQ/AVS SAM
HELLO!
hsucL jyuiMiind. crnntb...
MfJb sMltJ ...
'^ojipajr w»y wwp
nprM/Q^y
speJO
Awards
QacL -
INTER-COLLEGIATE PRES
Player agency in interactive narrative: audience, actor & author
No full textThe question motivating this review paper is, how can
computer-based interactive narrative be used as a constructivist learn-
ing activity? The paper proposes that player agency can be used to
link interactive narrative to learner agency in constructivist theory,
and to classify approaches to interactive narrative. The traditional
question driving research in interactive narrative is, ‘how can an in-
teractive narrative deal with a high degree of player agency, while
maintaining a coherent and well-formed narrative?’ This question
derives from an Aristotelian approach to interactive narrative that,
as the question shows, is inherently antagonistic to player agency.
Within this approach, player agency must be restricted and manip-
ulated to maintain the narrative. Two alternative approaches based
on Brecht’s Epic Theatre and Boal’s Theatre of the Oppressed are
reviewed. If a Boalian approach to interactive narrative is taken the
conflict between narrative and player agency dissolves. The question
that emerges from this approach is quite different from the traditional
question above, and presents a more useful approach to applying in-
teractive narrative as a constructivist learning activity
Trait-Based Vaccination of Individual Meerkats (Suricata suricatta) against Tuberculosis Provides Evidence to Support Targeted Disease Control.
No full textIndividuals vary in their potential to acquire and transmit infections, but this fact is currently underexploited in disease control strategies. We trialled a trait-based vaccination strategy to reduce tuberculosis in free-living meerkats by targeting high-contact meerkats (socially dominant individuals) in one study arm, and high-susceptibility individuals (young subordinates) in a second arm. We monitored infection within vaccinated groups over two years comparing the results with untreated control groups. Being a member of a high-contact group had a protective effect on individuals' survival times (Hazard Ratio = 0.5, 95% Confidence Interval, CI: 0.29-0.88, p = 0.02) compared to control groups. Over the study, odds of testing positive for tuberculosis increased more than five-fold in control groups (Odds Ratio = 5.40, 95% CI = 0.94-30.98, p = 0.058); however, no increases were observed in either of the treatment arms. Targeted disease control approaches, such as the one described in this study, allow for reduced numbers of interventions. Here, trait-based vaccination was associated with reduced infection rates and thus has the potential to offer more efficient alternatives to traditional mass-vaccination policies. Such improvements in efficiency warrant further study and could make infectious disease control more practically achievable in both animal (particularly wildlife) and human populations
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