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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".