Bibliographic record
Abstract
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.018 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.021 | 0.075 |
| Scholarly communication | 0.022 | 0.014 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.009 | 0.009 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".