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Record W868111127 · doi:10.20361/g2h03f

Little Chicken Duck by T. Beiser

2014· article· en· W868111127 on OpenAlexvenueaboutno aff
Andrea Deakin

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicThemes in Literature Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsFavouriteVisual artsArtArt historyLawPolitical science

Abstract

fetched live from OpenAlex

Beiser.Tim. Little Chicken Duck. Illus. Bill Slavin. Toronto, ON: Tundra Books, 2013. Print. When a duckling refuses a frog’s invitation to jump into the water and paddle, the frog introduces her to the other birds and asks them to reassure her. One by one they confess the fears they faced when they were young. The owl mistook fireflies for goblins’ eyes, the lark was afraid to sing, and the robin hated getting wet. Each bird they meet tells a tale of overcoming their fears until the duckling is playing happily in the water. But what, the duckling wonders, made the frog afraid when he was a pollywog? The frog admits it was ducks.Little Chicken Duck is an amusing introduction to facing one’s fears. The rhymes are strong and designed to allow young voices to join in while an adult reads aloud, and Bill Slavin’s illustrations are, as always, bold, brightly coloured and inviting. The animals’ fears are portrayed with character and humour. My favourite, an American bald eagle, dramatically pronounces his fear of thunderstorms as if he were holding forth on centre stage: with his beak powerfully declaiming, his wing thrust out for emphasis and with pointed claws. A child may not catch all of what Slavin is portraying, but then something must be left to trigger an adult’s sense of humour as they read.Recommended stars: 3 out of 4 stars Reviewer: Andrea DeakinAndrea has been involved with books since she was class librarian in Primary School, Student Librarian in Grammar School, student librarian for the Education Faculty when she was a student, and school librarian in schools both in England and in Canada, except for the first two years in Canada where she arrived in 1959. When she retired from teaching ( English and History) she was invited to review in February 1971, and continued to review for press, radio, and finally on the Internet (Deakin Newsletter from Okanagan College) until she retired in 2011. Forty years seemed sufficient- although she still cannot keep her nose out of good children's and YA fare.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.637
Threshold uncertainty score0.518

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.6370.613

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.216
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2014
Admission routes2
Has abstractyes

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