Bibliographic record
Abstract
La Renaissance et le Musée des Confluences organisent chaque année un cycle de débats de société. Dérangeants, accessibles, gratuits, troisième saison des Débats Consonances. Les conférenciers et artistes invités confrontent leurs idées avant de laisser place à la discussion avec la salle. Une rencontre entre penseurs et gens de la scène qui partagent avec le public leur désir d’aller au-delà des clichés pour démonter les mécanismes, situer les contextes et les enjeux de la pensée dans l’évolution de la société. Conviviaux, nous vous proposons de prolonger les échanges autour d’un repas commun, au théâtre (sur réservation, 12€). Débats organisés par le Théâtre de la Renaissance, le Musée des Confluences, Sens Public et animés par le philosophe Gérard Wormser. Théâtre de la Renaissance - 6 rue d’Orsel - 69600 OULLINS http://www.theatrelarenaissance.com Les conférences sont retranscrites par Aurélie Belleville.
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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.452 | 0.211 |
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".