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Record W4379381756 · doi:10.1353/bcc.2023.0168

Global: One Fragile World. An Epic Fight for Survival by Eoin Colfer (review)

2023· article· en· W4379381756 on OpenAlexaboutno aff
April Spisak

Bibliographic record

VenueBulletin of the Center for Children's Books./Bulletin of the Center for Children's Books · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicArctic and Russian Policy Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEPICHistoryGlobal warmingPolitical scienceMedia studiesSociologyClimate changeArtOceanographyLiterature

Abstract

fetched live from OpenAlex

Reviewed by: Global: One Fragile World. An Epic Fight for Survival by Eoin Colfer April Spisak Colfer, Eoin Global: One Fragile World. An Epic Fight for Survival; written by Eoin Colfer and Andrew Donkin; illus. by Giovanni Rigano. Sourcebooks, 2023 [144p] Trade ed. ISBN 9781728257235 $24.99 Paper ed. ISBN 9781728262192 $14.99 Reviewed from digital galleys R Gr. 6-8 The same team that created Illegal (BCCB 7/18), a powerful graphic novel about the dangers and difficulties undocumented immigrants face, tackles another dire topic: global warming. Perspective moves between two young people: Sami lives in the Bay of Bengal, part of a small fishing village that is enduring the impact of rising waters and an increasingly depleted Indian Ocean, while Yuki is a world away, up in the Arctic Circle, determined to do field research on polar bears in order to try to save them. Both children are admirably brave but persist to the point of foolhardiness, putting their lives in danger for things that feel incredibly important to them but are certainly less so for their guardians who almost lose them. The two storylines offer accessible and memorable entry points to a topic that can easily become overwhelming in scope and severity if presented on a global scale. The illustrations are vibrant and rich, the greens and blues of the ocean contrasting with the pale cream and silvery grays of an ice-filled (at least for now) Northern Canada. Both locations are imperiled by global warming but still beautiful and extraordinary, inspiring a [End Page 252] desire to preserve them. Informative end matter offers definitions and background details, including a grim authors' note that describes how UNICEF has identified one billion children as being "extremely high risk" of experiencing direct impacts of climate change, whether through increasing natural disasters, poverty brought on by depleted resources or abandoned industries, or pollution. Copyright © 2023 The Board of Trustees of the University of Illinois

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)0.001
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: Not applicable
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.043
Threshold uncertainty score0.143

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.001
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0430.025

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 head0.020
GPT teacher head0.280
Teacher spread0.260 · 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
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
Published2023
Admission routes1
Has abstractyes

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