Bibliographic record
Abstract
Les textes rassemblés dans cet ouvrage sont le fruit d’une journée d’étude consacrée à la tradition néoplatonicienne et à la gnose, en l’honneur du Professeur Pierre Hadot, qui se tint au Séminaire des missions étrangères de Paris, dans le cadre des Célébrations du 150e anniversaire de la Charte de l’Université Laval, et du 340e anniversaire de la fondation du Séminaire de Québec, associé au Séminaire des missions étrangères de Paris depuis 1663 et qui est à l’origine de l’Université Laval. Monsieur Hadot recevait par la suite en Sorbonne un doctorat honoris causa de l’Université Laval, lors d’une présentation dont on pourra lire le texte dans cet ouvrage. Martin Achard, Jean-Daniel Dubois, Pierre Hadot, Georges Leroux, Jean-Pierre Mahé, Jean-Marc Narbonne, Paul-Hubert Poirier, Madeleine Scopello, John D. Turner
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.027 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.014 | 0.003 |
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".