Portraits d’écrivains en séries. La généricité composite des monographies illustrées de poche
Bibliographic record
Abstract
Les ouvrages publiés dans les collections de monographies illustrées reprennent et adaptent la formule initiée par « Poètes d’aujourd’hui », rapidement reprise par « Écrivains de toujours », et consistant à agencer un essai critique, un choix de textes et des images. Partant de certains documents d’archives qui témoignent d’une forme d’incertitude quant au genre dont relèveraient ces ouvrages, cet article s’interroge sur la généricité particulière de ces agencements de textes et d’images ressortant de genres distincts. S’ils diffèrent, sur un plan formel aussi bien que s’agissant des modalités du façonnement de l’image de l’auteur auquel ils contribuent, les textes mis en oeuvre participent d’une entreprise portraiturale qui régit en sous-main les volumes de ces collections de même que leur constitution globale.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.035 | 0.007 |
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".