Sciences des religions et théologie : un projet au sein de la pluralité des modèles
Bibliographic record
Abstract
Évoquant des réflexions faites en France, en Suisse et dans le monde anglo-saxon sur les rapports entre théologie et sciences des religions, cet article amorce un travail de systématisation critique. Il situe aussi la mise sur pied d'un nouveau centre d'étude des religions à l'Université de Montréal (CÉRUM) sur l'horizon des réflexions et des modèles institutionnels concernant l'étude de la religion ou du phénomène religieux, surtout au Canada et dans certains autres pays occidentaux. Les synergies qui se développent au sein du CÉRUM relèvent à la fois d'une distinction entre théologie et sciences des religions, et d'une interaction sur laquelle il faut réfléchir.
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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 | 0.017 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.007 | 0.060 |
| Scholarly communication | 0.020 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".