Bibliographic record
Abstract
Décédé en 2014, Louis Bergeron a été l’un de ceux qui ont le plus contribué à la prise en considération du patrimoine de l’industrie en France à partir des années 1975, puis dans le monde à la fin du XXe siècle et au début du XXIe. Historien, directeur d’études dans l’un des plus grands établissements de recherche français, il a beaucoup travaillé sur les élites financières et industrielles de la France au XIXesiècle. Intimement convaincu qu’il fallait conserver les traces matérielles de l’industrie depuis son émergence, en tant que témoignages d’une culture technique commune à toutes les grandes nations, au même titre que les cultures religieuses ou artistiques, il a décuplé des initiatives dans de nombreux pays. Mais il n’a pas eu le temps de rédiger le grand ouvrage que beaucoup attendait de lui. C’est pourquoi, pour retracer sa pensée, sa philosophie et les conditions de ses actions, il convient de construire un corpus de ses innombrables écrits.
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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.018 | 0.004 |
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".