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Record W4280513059 · doi:10.1017/9781009165877

Change in Global Environmental Politics

2022· book· en· W4280513059 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.

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook
Languageen
FieldSocial Sciences
TopicTransboundary Water Resource Management
Canadian institutionsCarleton University
Fundersnot available
KeywordsPoliticsTransformative learningTemporalityEnvironmental politicsHumanityPolitical scienceEnvironmental ethicsInternational relationsEnvironmental changePolitical economyEcological crisisRage (emotion)Global politicsClimate changeSociologyLawEpistemologyEcology

Abstract

fetched live from OpenAlex

As wildfires rage, pollution thickens, and species disappear, the world confronts environmental crisis with a set of global institutions in urgent need of reform. Yet, these institutions have proved frustratingly resistant to change. Introducing the concept of Temporal Focal Points, Manulak shows how change occurs in world politics. By re-envisioning the role of timing and temporality in social relations, his analysis presents a new approach to understanding transformative phases in international cooperation. We may now be entering such a phase, he argues, and global actors must be ready to realize the opportunities presented. Charting the often colorful and intensely political history of change in global environmental politics, this book sheds new light on the actors and institutions that shape humanity's response to planetary decline. It will be of interest to scholars and advanced students of international relations, international organization and environmental politics and history.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.958
Threshold uncertainty score1.000

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 science0.0010.001
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 head0.025
GPT teacher head0.225
Teacher spread0.200 · 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