Bibliographic record
Abstract
Prévoir la trajectoire des idées politiques et les résultats électoraux est devenu un exercice périlleux. Cela étant dit, l’évolution de l’opinion publique américaine, des changements profonds dans le secteur de l’énergie, l’arrivée massive de cohortes électorales porteuses d’idées nouvelles et l’entrée au congrès de nouvelles figures aux idées progressistes décomplexées forcent aujourd’hui une reconfiguration du discours et des plateformes politiques. Faisons le pari que les élections présidentielles américaines de 2020 – et encore davantage celles qui suivront – pourraient marquer le début d’un grand dégel pour un ensemble d’idées comme les changements climatiques, l’assurance-maladie universelle et la lutte aux inégalités, des idées considérées comme tabou par la quasi-totalité de la classe politique américaine au cours des derniers cycles électoraux.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.007 |
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; both teacher heads agree on what is shown here.
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".