Bibliographic record
Abstract
Ce que l’écrit ne dit pas raconte le passage du son à l’écrit. Marie Fierens y interroge les traces que laissent les entretiens et les oublis de la recherche dans sa forme écrite. Elle revient ici sur sa rencontre avec Jean Lema, alias Jamais Kolonga, un journaliste et acteur politique congolais dont le parcours est intimement lié à l’accession du Congo belge à l’indépendance.Claire Gatineau et Yves Robic, de la revue sonore Le Grain des choses, ont accompagné et formé Marie dans le cadre de cette réalisation. Ce que l’écrit ne dit pas a trouvé sa place dans le sixième numéro de leur revue, intitulé Cherche toujours. Il est le résultat de 3 années de rencontres et de pérégrinations entre chercheur.e.s, réalisatrices et réalisateurs radio.Avec le soutien de la Faculté Lettres, Traduction et Communication et du centre de recherche ReSIC de l’Université Libre de Bruxelles
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.195 | 0.088 |
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".