Bibliographic record
Abstract
Thomas Urbain, jeune métis traversé par une crise d’identité et gagné au saint-simonisme, débarque en Égypte en 1832 pour participer à l’union de l’Orient et de l’Occident. Très vite attiré par l’islam, le jeune homme tombe amoureux tour à tour d’une femme noire originaire d’Abyssinie et de sa fille métisse. Les ayant perdues toutes les deux, il se convertit alors à l’islam sous les auspices du saint-simonisme. Revenu en France pour une courte période, il se fait nommer en Algérie comme traducteur rattaché à l’Armée et continue de défendre l’idée d’une union entre l’Orient et l’Occident. Il encourage en particulier les mariages mixtes et montre lui-même l’exemple en épousant une Algérienne musulmane avec qui il aura une fille. Il va pourtant d’échec en échec, tant dans sa vie privée que publique, et doit fuir l’Algérie à la fin du Second Empire pour échapper à la vindicte des colons.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.011 | 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".