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Record W4401338759 · doi:10.1093/isle/isae044

<i>The Ocean on Fire: Pacific Stories from Nuclear Survivors and Climate Activists</i>. By Anaïs Maurer

2024· article· en· W4401338759 on OpenAlex
R. Hogue

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueISLE Interdisciplinary Studies in Literature and Environment · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicDiverse Historical and Scientific Studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsOceanographyHistoryPolitical scienceClimatologyGeology

Abstract

fetched live from OpenAlex

Journal Article The Ocean on Fire: Pacific Stories from Nuclear Survivors and Climate Activists. By Anaïs Maurer Get access The Ocean on Fire: Pacific Stories from Nuclear Survivors and Climate Activists. By Anaïs Maurer. Duke UP, 2024. 256 pp. Paper $26.95. Rebecca H Hogue Rebecca H Hogue University of Toronto rhogue@fas.harvard.edu https://orcid.org/0000-0001-7446-3217 Search for other works by this author on: Oxford Academic Google Scholar ISLE: Interdisciplinary Studies in Literature and Environment, isae044, https://doi.org/10.1093/isle/isae044 Published: 05 August 2024 Article history Received: 08 July 2024 Editorial decision: 09 July 2024 Accepted: 12 July 2024 Published: 05 August 2024

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.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.447
Threshold uncertainty score0.946

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.001
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 head0.017
GPT teacher head0.240
Teacher spread0.223 · 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