Larbi CHOUIKHA (2015), Des séquelles de l’étatisation aux aléas de la transition. La difficile transformation des médias. Des années de l’indépendance à la veille des élections de 2014
Bibliographic record
Abstract
Les médias ont, a-t-on dit, joué un rôle important lors de la révolution tunisienne. Ils ont été vus comme un objet merveilleux qui a fait abattre un régime sans merci, à croire qu’il n’y avait plus de Tunisiennes et de Tunisiens en chair et en os pour tenir le flambeau de la liberté. Le livre de Larbi Chouikha n’est pas polémique, il s’agit plutôt d’un travail de réflexion inspiré par des travaux qu’il mène patiemment depuis plus de deux décennies sur les médias et l’information en Tunisie....
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 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".