Bibliographic record
Abstract
Eugene-Fran ois Vidocq est non seulement le pere de la police judiciaire et le fondateur de la toute premiere agence de detective prive de l’histoire, mais aussi le premier ecrivain policier du monde moderne. L’histoire litteraire lui doit une place meritee. Memoires de Vidocq et ses publications romanesques constituent les deux etapes de sa creation litteraire. Alors que les quatre volumes de Memoires lui valurent une renomme qui persiste jusqu’aujourd’hui, Les Vrais Mysteres de Paris fut salue comme l’encyclopedie des fiches policieres. Sa personnalite judiciaire ne lui permettant pas de deployer pleinement son talent, ses uvres ont effectivement du mal a egaler le chef-d’oeuvre de ses contemporains sur le plan de la langue et de la dimension aussi bien historique que philosophique. Ⅱ faudrait pourtant reconna tre sa juste valeur en pretant particulierement attention a ses valeurs documentaires et historiques. Vidocq, etant a la fois vagabond et geant de l’epoque, a inspire de grands ecrivains tels qu’Hugo et Balzac.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.011 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.120 | 0.033 |
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".