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Record W1485406380 · doi:10.20361/g2dw3g

The Slug by E. Gravel

2015· article· en· W1485406380 on OpenAlexvenueaboutno aff
Carlene Slobodian

Bibliographic record

VenueThe Deakin Review of Children s Literature · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental, Ecological, and Cultural Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCreaturesSlugVisual artsHistoryArtEcologyArchaeologyNatural (archaeology)Biology

Abstract

fetched live from OpenAlex

Gravel,Elise. The Slug. New York: Tundra Books, 2014. Print.One of the many titles in Gravel’s series, Disgusting Critters, this charmingly-illustrated volume contains a multitude of facts about slugs. Considered to be one of the garden’s more unappealing creatures, the slug is an uncommon subject in the world of bug and insect books, hence making this read all the more interesting.Many kids love books about interesting creatures, and the slug is one of the more slimy creatures living in backyards. Many of the physical features of the slug are described in this book: mucous, multiple tentacles, their breathing holes located on the sides of their faces, and soft, squishy bodies that ooze along. The cheerful land slug appears on every page, and happily teaches readers all about the basic body parts of a slug, and their important role in the garden as a transformer of waste plant matter into usable nutrients. Their reproductive process is described in child-friendly language. The most enjoyable pages discuss the many ways slugs use mucous: as a transportation aid, an escape mechanism, and as an aid to attract mates.Readers will find the humorous cartoons to be a refreshing alternative to the photographs commonly found in non-fiction books. These pictures, paired with simple facts, make this book suitable for early readers, and could ease the transition into non-fiction for children who are reluctant to explore the genre. It is also recommended for readers who are ready to start exploring simple chapter books. The Slug would be a welcome addition to both public and school library collections.Recommended: 3 out of 4 starsReviewer: Carlene SlobodianCarlene Slobodian is an MLIS candidate at the University of Alberta with a lifelong passion for children’s literature. When not devouring books, she can be found knitting, cooking, or discovering new kinds of tea to sample.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.424
Threshold uncertainty score0.561

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.018
GPT teacher head0.284
Teacher spread0.266 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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
Published2015
Admission routes2
Has abstractyes

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