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Record W4367678426 · doi:10.1093/ia/iiad074

Interlocal adaptations to climate in east and southeast Asia: sharing lessons of agriculture, disaster risk reduction, and resource management

2023· article· en· W4367678426 on OpenAlex

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

VenueInternational Affairs · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change, Adaptation, Migration
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAgriculturePolitical scienceGeographyResource (disambiguation)Archaeology

Abstract

fetched live from OpenAlex

Journal Article Interlocal adaptations to climate in east and southeast Asia: sharing lessons of agriculture, disaster risk reduction, and resource management Get access Interlocal adaptations to climate in east and southeast Asia: sharing lessons of agriculture, disaster risk reduction, and resource management. Edited by Tetsuji Ito, Makoto Tamura, Akihiko Kotera and Yuki Ishikawa-Ishiwata. Cham: Springer. 2022. 164pp. Pb.: £24.99. Isbn978 3 03081 206 5. Available as e-book. Devon Cantwell-Chavez Devon Cantwell-Chavez University of Ottawa, Canada Search for other works by this author on: Oxford Academic Google Scholar International Affairs, Volume 99, Issue 3, May 2023, Pages 1340–1341, https://doi.org/10.1093/ia/iiad074 Published: 02 May 2023

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.420
Threshold uncertainty score0.748

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.070
GPT teacher head0.313
Teacher spread0.243 · 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