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Record W4286412493 · doi:10.3138/jeunesse.12.1.215

Animal, Vegetable, or Mineral? Nordic Ecocritical Approaches to Children’s Texts

2020· article· en· W4286412493 on OpenAlexvenueaboutno aff
Catherine Olver

Bibliographic record

VenueJeunesse Young People Texts Cultures · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicLiterature, Politics, and Exile Studies
Canadian institutionsnot available
Fundersnot available
KeywordsNatural resource economicsEnvironmental ethicsEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Find information about UTP Journals. University of Toronto Press is Canada’s leading academic publisher and one of the largest university presses in North America, with particular strengths in the social sciences, humanities, and business. The Book Publishing Division is widely recognized in Canada for its strength in history, political science, sociology, Indigenous studies, and cultural studies. Internationally, UTP is a leading publisher of medieval, Renaissance, Italian, Iberian, Slavic, and urban studies, as well as studies in book and print culture.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.090
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0100.021
Scholarly communication0.0120.008
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0110.001

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 head0.038
GPT teacher head0.251
Teacher spread0.212 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2020
Admission routes2
Has abstractyes

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