Pour une archéologie de l’injonction : leitmotivs dans la presse autour des projets numériques patrimoniaux
Bibliographic record
Abstract
Cette contribution étudie les projets numériques de restitution patrimoniale à travers l’évolution de leur représentation médiatique depuis la fin des années 1980 jusqu’à nos jours. L’analyse d’un corpus d’articles de presse dédiés à des projets emblématiques met à l’épreuve la répétition d’arguments médiatiques susceptibles de devenir des formules avec le temps. La reprise de promesses dont la construction est issue de la rencontre entre les valeurs associées au numérique et au patrimoine est envisagée comme participant d’un phénomène de réquisition pour les institutions patrimoniales. Cet article propose de décomposer cette réquisition entre trois modalités d’encouragement au déploiement de dispositifs numériques de médiation patrimoniale.
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 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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.003 | 0.011 |
| Open science | 0.001 | 0.001 |
| 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".