Bibliographic record
Abstract
Le réchauffement climatique, la pauvreté ou la menace d’une catastrophe nucléaire comptent parmi les défis majeurs auxquels l’humanité se doit de faire face collectivement en ce début de 21e siècle. Malgré la gravité et l’urgence de la situation, les moyens dont nous disposons pour résoudre de tels problèmes demeurent limités et incomplets. Il est dès lors non seulement essentiel mais aussi urgent de penser comment faire face à de tels enjeux globaux. Les solutions passent par des mécanismes de gouvernance globale et se doivent de répondre aux exigences de solidarité, de démocratie, de justice sociale et d’efficacité politique. Il s’agit notamment d’assurer à chaque personne la possibilité d’influencer les conditions sociales qui façonnent sa vie. Il est donc encore possible d’agir sur le cours des choses, mais si aucune réponse n’est rapidement apportée à ces défis majeurs, le futur de l’humanité risque d’être compromis.
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 | 0.006 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.007 | 0.007 |
| Insufficient payload (model declined to judge) | 0.023 | 0.003 |
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".