1,720,977 research outputs found
Oh, do you remember, a long time ago, When three little babes whose names I don't know
No full textvoice ; pianosColl. by Randy Terry Randy Terry
For M.C. Parler Fayetteville, Ark.
January 10, 1960
Reel 338, Item 4
Babes in the Woods
Oh, do you remember, a long time ago,
When three little babes whose names I don't know Were strolling along one bright summer day And got lost in the woods, I heard people say.
And when it was night, the stars gave no light,
The sun had gone down, the moon was not bright,
They sobbed and they sighed and they bitterly cried, Poor babes in the woods, they laid there and died.
And when they were dead, the robin so red,
Gathered strawberry leaves and over them spread,
All the day long, he sang them this song,
Poor babes in the woods, poor babes in the woods.Funding for digitization provided by the Arkansas Humanities Council and the Happy Hollow Foundation
I'll tell you 'bout a burglar boy who went to rob a house,
No full textvoice; guitarsColl. by Randy Terry For M.C. Parler
Randy Terry Fayetteville, Ark.
January 10, 1960
Reel 338, Item 5
The Burglar and the Old Maid
I'll tell you 'bout a burglar boy who went to rob a house,
He opened the door and then crept in quietly as a mouse,
He looked for a place to hide himself so under the bed he lay At nine o'clock he saw a sight that made his hair turn gray.
At nine o'clock an old maid came in, "Oh, I'm so tired," she said,
She thought everything was all right that night and she never looked under the bed,
She pulled out her teeth and her big glass eye and the hair off the top of her head,
The burglar had forty-four firs when he crept from under the bed.
Well under the bed the burglar crept, he was a total wreck, The old maid didn't seem frightened at all, she grabbed him by the neck,
She pulled out her revolver and to the burglar said,
"Young man, if you don't marry me, I'll blow off the top of your head,"
He looked at her revolver and saw no time to scoot,
He looked at her teeth and her big glass eye, and said,
"By God, Woman, SHOOT!"Funding for digitization provided by the Arkansas Humanities Council and the Happy Hollow Foundation
Low bridge, everybody down,
No full textvoice; guitarsColl. by Randy Terry For M.C. Parler
Randy Terry Fayetteville, Ark. January 10, 1960
Reel 338, Item 6
The Erie Canal
(I was born in Rome, N.Y. and learned this song from my grandparents.)
I got a mule and her name is Sal,
Fifteen years on the Erie Canal,
She's a good old worker and a good old pal, Fifteen years on the Erie Canal;
We haul some barges in our day,
Filled with lumber coal and hay,
We know every inch of the way,
From Albany to Buffalo.
Chorus:
Low bridge, everybody down,
Low bridge, for we're going through a town, You'll always know your neighbor,
You'll always know your pal,
If you've ever navigated on the Erie Canal.
You'd better get along on your way, old gal, Fifteen years on the Erie Canal,
You bet your life, I'd never part with Sal, Fifteen years on the Erie Canal.
Get off . . . here comes a lock,
We'll make Rome 'bout six o(clock,
One more trip and back we'll go Right back home to Buffalo.
ChorusFunding for digitization provided by the Arkansas Humanities Council and the Happy Hollow Foundation
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
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