When standing is no longer an option : creation of a loss and damage fund at COP27
Bibliographic record
Abstract
"At the conclusion of the 27th Conference of the Parties (COP27) of the United Nations Framework Convention on Climate Change (UNFCCC) (in Sharm el-Sheikh, Egypt, November 6–18, 2022), countries agreed to set up a new fund to support vulnerable countries suffering losses and damage from climate change (UNFCCC 2022a, para. 3; 2022b, para. 46). Although the modalities of this fund have yet to be determined, its creation will mark a turning point in international climate negotiations. And with good reason: this avenue has long been rejected by developed countries, despite the repeated insistence of those countries particularly vulnerable and sensitive to the harmful effects of climate change. These countries consider such a fund to be vital, since they suffer disproportionately from the damage caused by climate change, without being responsible for it and without having the necessary resources to deal with it. [...]"
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 | 0.013 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.010 | 0.004 |
| Scholarly communication | 0.015 | 0.008 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.011 | 0.011 |
| Insufficient payload (model declined to judge) | 0.027 | 0.006 |
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".