Bibliographic record
Abstract
La conversion religieuse est considérée comme une forme du retour de la religion dans les sociétés séculières. Afin de comprendre cette métamorphose du paysage religieux, plusieurs disciplines se sont intéressées à l’étude des causes de la conversion religieuse. Pourvue d’appareils conceptuel et théorique, chaque discipline a apporté des éléments de connaissances qui ont contribué à la compréhension des causes de la conversion religieuse. Cependant, ces connaissances monodisciplinaires ont conduit à l’éclatement de cet objet de recherche. Cet article est donc une tentative de concilier les diverses lectures de la conversion religieuse. Tout d’abord, nous soulignons la dissémination des connaissances qui traitent des causes de la conversion religieuse. Ensuite, nous préparons le terrain pour une lecture interdisciplinaire en adoptant la théorie relationnelle. Enfin, nous échafaudons le décor d’une modélisation trialectique des liens de causalité de la conversion religieuse. Il s’agit d’une proposition qui a été soumise à l’épreuve de l’empirie dans le cadre d’un projet de doctorat afin d’en examiner la vitalité.
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 | 0.009 | 0.020 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 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".