Synergies Venezuela en 2023 : renaissance d'une revue pionnière et rappel de trois raisons d'être du GERFLNT
Bibliographic record
Abstract
Le numéro 8 de Synergies Venezuela, année 2023, marque la reprise d'une revue pionnière du Réseau des revues Synergies du GERFLINT fondée en 2005. La thématique retenue est à la hauteur de l'importance de cet événement pour l'expression scientifique francophone dans cette partie du monde : le patrimoine culturel, Ce patrimoine est coordonné en deux volets : le premier, centré sur la langue, le second sur la littérature. Ce volume possède bien toutes les forces géographiques, scientifiques, francophones nécessaires à cette renaissance éditoriale internationale : on y trouvera des études et recherches portant sur l'enseignement de la langue française, les politiques linguistiques, la littérature écrite en France, aux Antilles françaises, en Haïti et au Québec.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".