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Douglas Stuart: Shuggie Bain
No full textKirja-arvostelu teoksesta Douglas Stuart: Shuggie Bain, suom. Laura Jänisniemi, WSOY, 2022, s.496.nonPeerReviewe
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Shuggie Bain ::a novel / by Douglas Stuart.
No full textShuggie Bain is the unforgettable story of young Hugh "Shuggie" Bain, a sweet and lonely boy who spends his 1980s childhood in run-down public housing in Glasgow, Scotland. Thatcher's policies have put husbands and sons out of work, and the city's notorious drugs epidemic is waiting in the wings. Shuggie's mother Agnes walks a wayward path: she is Shuggie's guiding light but a burden for him and his siblings. She dreams of a house with its own front door while she flicks through the pages of the Freemans catalogue, ordering a little happiness on credit, anything to brighten up her grey life. Married to a philandering taxi-driver husband, Agnes keeps her pride by looking good-her beehive, make-up, and pearly-white false teeth offer a glamourous image of a Glaswegian Elizabeth Taylor. But under the surface, Agnes finds increasing solace in drink, and she drains away the lion's share of each week's benefits-all the family has to live on-on cans of extra-strong lager hidden in handbags and poured into tea mugs. Agnes's older children find their own ways to get a safe distance from their mother, abandoning Shuggie to care for her as she swings between alcoholic binges and sobriety. Shuggie is meanwhile struggling to somehow become the normal boy he desperately longs to be, but everyone has realized that he is "no right," a boy with a secret that all but him can see. Agnes is supportive of her son, but her addiction has the power to eclipse everyone close to her-even her beloved Shuggie. A heartbreaking story of addiction, sexuality, and love, Shuggie Bain is an epic portrayal of a working-class family that is rarely seen in fiction. Recalling the work of Édouard Louis, Alan Hollinghurst, Frank McCourt, and Hanya Yanagihara, it is a blistering debut by a brilliant novelist who has a powerful and important story to tell
Tennessee roads / Jesse Stuart. In Mountain herald / Lincoln Memorial University.
No full textThis picturesque poem was written by then-sophomore (and future celebrated author) Jesse Stuart about the roads of Tennessee
No. 617 Stuart Ruckman
No full textTranscript (12, 40 pages) of two interviews by Matt Driscoll with Stuart Ruckman on April 9, 2010, and July 7, 2011Ruckman (b. 1966) was born in Salt Lake City, Utah. Stuart shares how his family, particularly his father, played a significant role in introducing him to the outdoors. Some of his initial explorations included a hike to the top of Mount Olympus when he was five years old, backpacking trips in the Wasatch and Uinta Mountains, and a successful summit attempt on the Grand Teton when he was twelve. Stuart discovered technical rock climbing due to the influence of his older brother Bret, five years Stuart\u27s senior. Bret learned under Dennis Turville, a well-respected Salt Lake climbing instructor. Stuart shares his observations on the Salt Lake climbing community of the late 1970s and 1980s, noting the intimacy of the community, while also pointing out the significant influence of a handful of climbers, including Merrill Bitter, Les Ellison, and Brian Smoot. He briefly describes the proliferation of new-route development in the Wasatch during his first decade in climbing. In collaboration with his brother Bret, Stuart published comprehensive guidebooks on climbing in the Wasatch Mountains. Stuart\u27s contributions as a first-ascensionist and co-author of Rock Climbing the Wasatch Range attest to his lasting impact on Utah climbing. Interview is part of the Outdoor Recreation History Project. Interviewer: Matt Driscol
Shuggie Bain: enfant singulier de Glasgow
No full textA short documentary film made by director Alexandra Willot- Beaufils for the Franco-German TV channel Arte. It is about the author Douglas Stuart and his semi-autobiographical novel Shuggie Bain. The film largely consists of descriptions of Glasgow and the village of Cardowan and life there (plus a history of mining there) by myself and Chris Leslie and excerpts from the book
T.B. Stuart
No full textTitle from unverified data provided by the Bain News Service on the negatives or caption cards.Forms part of: George Grantham Bain Collection (Library of Congress).General information about the Bain Collection is available at http://hdl.loc.gov/loc.pnp/pp.ggbai
Stuart Walker
No full textTitle from unverified data provided by the Bain News Service on the negatives or caption cards.Forms part of: George Grantham Bain Collection (Library of Congress).General information about the Bain Collection is available at http://hdl.loc.gov/loc.pnp/pp.ggbai
Evolving Algorithms for Over-Constrained and Satisfaction Problems
No full textThe notion that a universally effective problem solver may still exist, and is simply waiting to be found, is slowly being abandoned in the light of a growing body of work reporting on the narrow applicability of individual heuristics. As the formalism of the constraint satisfaction problem remains a popular choice for the representation of problems to be solved algorithmically, there exists an ongoing need for new algorithms to effciently handle the disparate range of problems that have been posed in this representation. Given the costs associated with manually applying human algorithm development and problem solving expertise, methods that can automatically adapt to the particular features of a specific class of problem have begun to attract more attention. Whilst a number of authors have developed adaptive systems, the field, and particularly with respect to their application to constraint satisfaction problems, has seen only limited discussion as to what features are desirable for an adaptive constraint system. This may well have been a limiting factor with previous implementations, which have exhibited only subsets of the five features identified in this work as important to the utility of an adaptive constraint satisfaction system. Whether an adaptive system exhibits these features depends on both the chosen represen-tation and the method of adaptation. In this thesis, a three-part representation for constraint algorithms is introduced, which defines an algorithm in terms of contention, preference and selection functions. An adaptive system based on genetic programming is presented that adapts constraint algorithms described using the mentioned three-part representation. This is believed to be the first use of standard genetic programming for learning constraint algo-rithms. Finally, to further demonstrate the efficacy of this adaptive system, its performance in learning specialised algorithms for hard, real-world problem instances is thoroughly evaluated. These instances include random as well as structured instances from known-hard benchmark distributions, industrial problems (specifically, SAT-translated planning and cryptographic problems) as well as over-constrained problem instances. The outcome of this evaluation is a set of new algorithms - valuable in their own right - specifically tailored to these problem classes. Partial results of this work have appeared in the following publications: [1] Stuart Bain, John Thornton, and Abdul Sattar (2004) Evolving algorithms for constraint satisfaction. In Proc. of the 2004 Congress on Evolutionary Computation, pages 265-272. [2] Stuart Bain, John Thornton, and Abdul Sattar (2004) Methods of automatic algorithm generation. In Proc. of the 9th Pacific Rim Conference on AI, pages 144-153. [3] Stuart Bain, John Thornton, and Abdul Sattar. (2005) A comparison of evolutionary methods for the discovery of local search heuristics. In Australian Conference on Artificial Intelligence: AI'05, pages 1068-1074. [4] Stuart Bain, John Thornton, and Abdul Sattar (2005) Evolving variable-ordering heuristics for constrained optimisation. In Principles and Practice of Constraint Programming: CP'05, pages 732-736.Thesis (PhD Doctorate)Doctor of Philosophy (PhD)School of Information and Communication TechnologyFaculty of Engineering and Information TechnologyFull Tex
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