Bonne Europe et mauvaise France. Les éditorialistes français interprètent la victoire du « non » au traité constitutionnel européen
Bibliographic record
Abstract
Le 29 mai 2005, la majorité des électeurs français ont rejeté le projet de « traité constitutionnel européen » qui leur était soumis par référendum. Que signifie ce vote ? Comment l’expliquer ? Comme après chaque scrutin, s’est engagée une lutte symbolique pour l’interprétation des résultats faisant intervenir hommes et femmes politiques, journalistes et experts. La présente contribution se propose de réfléchir à la construction médiatique de ce vote en étudiant les réactions des commentateurs au lendemain du scrutin. Ce faisant, seront exposées leurs stratégies idéologiques, ainsi que les logiques sociales qui en sont au fondement. Cette recherche interroge ainsi le rôle des médias dans la structuration du débat public.
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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".