MétaCan
Menu
Back to cohort
Record W2617465949 · doi:10.7202/1039688ar

Les miracles au péril de la science1

2017· article· fr· W2617465949 on OpenAlexaffvenue
Serge Larivée, Marc-Olivier Blondin-Provost, Carole Sénéchal, Claude Perreault

Bibliographic record

VenueRevue de psychoéducation · 2017
Typearticle
Languagefr
FieldPsychology
TopicPsychedelics and Drug Studies
Canadian institutionsUniversity of OttawaUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophyMiracleTheology

Abstract

fetched live from OpenAlex

L’objectif de ce texte est de tenter de comprendre la persistance du phénomène de la croyance aux miracles dans un monde dominé par la science et la technologie. Le texte comprend cinq parties. Au cours de la première partie, nous présentons quelques sondages concernant la croyance aux miracles ainsi qu’une définition des miracles. Puisque la prière est au coeur du processus miraculeux, l’analyse de son efficacité fait l’objet de la deuxième partie. Nous examinons par la suite le fonctionnement du processus miraculeux en s’inspirant de ce qui se passe à Lourdes. Dans la quatrième partie, nous nous interrogeons sur la possibilité de concilier science et religion. La dernière partie comprend trois sections : quatre critiques méthodologiques concernant l’efficacité de la prière, l’importance des notions de hasard et de probabilités nécessaires à la compréhension de la notion de miracle et la présentation de six hypothèses alternatives de nature médicale aux explications des miracles reconnus par l’Église.

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 imitation

Not 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.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.021
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.021
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0050.039
Scholarly communication0.0100.012
Open science0.0020.004
Research integrity0.0040.008
Insufficient payload (model declined to judge)0.0090.001

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.

Opus teacher head0.113
GPT teacher head0.487
Teacher spread0.374 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2017
Admission routes2
Has abstractyes

Explore more

Same venueRevue de psychoéducationSame topicPsychedelics and Drug StudiesFrench-language works237,207