Bibliographic record
Abstract
À son arrivée à la tête de l’ONU en 2007, Ban Ki-moon hérite d’une politique climatique multilatérale fragilisée par le manque de leadership des États, la fragmentation des agences onusiennes et la faible implication des acteurs non étatiques. Contre toute attente, le Secrétaire général fait du climat une priorité de son mandat, se positionnant comme un acteur clé des négociations climatiques. À partir d’archives relatives aux actions du Secrétaire général, cet article montre comment Ban Ki-moon a su tirer parti de la crise de gouvernance pour s’imposer, d’abord comme autorité reconnue, puis comme administrateur et diplomate influent dans la gouvernance mondiale du climat. Son action culmine avec la signature de l’Accord de Paris en 2015 et se prolonge sous le mandat de son successeur, António Guterres, consacrant ainsi l’institutionnalisation du rôle climatique du Secrétaire général des Nations Unies.
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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.010 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.014 | 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".