Bibliographic record
Abstract
This paper puts forward a normative framework to differentiate between the climate-related responsibilities of different countries in the aftermath of the Paris Agreement. It offers reasons for applying the chief moral principles of ‘historical responsibility’ and ‘capacity’ to climate finance instead of climate change mitigation targets. This will (i) provide a normative basis to realize the goal of climate change mitigation while allowing for developing and newly industrialized countries to develop economically and (ii) offer an account of the distributive principles that can regulate climate finance. This is a real-world interpretation of the 1992 UNFCCC principle of ‘common but differentiated responsibilities’ that takes into account the progress accomplished at the COP21 in Paris and offers a solution to the still unsolved problem of differentiated responsibilities. This paper offers an application of this proposal to the Green Climate Fund.
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 | 0.021 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.016 | 0.038 |
| Scholarly communication | 0.019 | 0.014 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.020 | 0.013 |
| Insufficient payload (model declined to judge) | 0.008 | 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".