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Record W2901679763 · doi:10.1111/1758-5899.12586

Seeking Entry: Discursive Hooks and NGOs in Global Climate Politics

2018· article· en· W2901679763 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

VenueGlobal Policy · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicSustainability and Climate Change Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsNegotiationCivil societyPoliticsTreatyPolitical scienceClimate justicePolitical economyClimate changePublic administrationSociologyLawEcology

Abstract

fetched live from OpenAlex

Abstract Today's global climate movement is substantial and diverse. In the mid‐2000s, an influx of activists and organizations advancing social issues, such as gender, labor, justice, development and indigenous rights (to name a few) arrived at the UN climate negotiations, fragmenting civil society. I argue that, in part, the rise of these ‘new’ climate activists can be explained by the ongoing negotiations for a legally binding treaty to replace the Kyoto Protocol, which added new issues that became ‘discursive hooks’ for NGOs’ claims to belonging in the climate regime. Linking to a specific institution had two effects: it served as an entry point to frame climate issues as social issues; and it helped NGOs carve a niche in climate policy in which they were authorities. In the Paris regime, this history matters, as some NGOs will fare better under the new rules than others. First, those established in institutions enshrined in the Paris Agreement will continue to have a foothold in the regime. Second, those that built their authority on their expertise or their capacity to deliver mitigation results may find more opportunities than those making moral claims.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.093
Threshold uncertainty score0.992

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 studies0.0000.001
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 head0.008
GPT teacher head0.274
Teacher spread0.266 · 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