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Creature Features
This large-format (8½ x 11) paperback book presents fourteen creatures through rhyming couplets and line-drawings. The rhymes sometimes groan, but the word-plays can be fun. Here is a good example from The Gnu and the Gnat: When the gnat gnaws, the gnu gnarls and gnashes its teeth./Then the gnat flies away to gnaw on a new gnu./So, if we don't use the 'g' sound what good does it do?/Neither the gnat nor the gnu knew. Towards the end of the book there are two accounts Based on a fable by Aesop: first, a good version of LM (31-33) and then a composite fable, The Wolves, the Tiger, and the Rabbit. The tiger takes the rabbit from the quarreling wolves, but then moves through water and has the problem usually associated with DS. I was lucky to find this fable needle in Second Story's warehouse haystack of books!Peter Gra
Gray Peter — L'Irlande au temps de la grande famine
Courbage Youssef. Gray Peter — L'Irlande au temps de la grande famine. In: Population, 51ᵉ année, n°2, 1996. pp. 498-501
Gray Peter — L'Irlande au temps de la grande famine
Courbage Youssef. Gray Peter — L'Irlande au temps de la grande famine. In: Population, 51ᵉ année, n°2, 1996. pp. 498-501
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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
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