La crise économique comme architecte de l’espace public européen. Le cas des élections européennes françaises de 2014
Bibliographic record
Abstract
En donnant plus de visibilité et un rôle politique accru à l’Union européenne, la crise permet de structurer un espace public au niveau européen. Une des façons de vérifier cette hypothèse est d’étudier le discours médiatique. Cet article analyse l’impact de la crise sur le discours médiatique français. Dans une démarche exploratoire, nous comparons les campagnes électorales des élections européennes de 2009 (avant la crise) et de 2014 (pendant la crise) afin d’observer s’il y a une évolution dans le traitement de l’information. Nos données suggèrent que la crise a un impact sur la visibilité de l’Union européenne en créant un espace médiatique et politique qui lui est propre, et qu’elle n’avait pas en 2009.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.006 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.030 | 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".