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Record W2019178456 · doi:10.7202/602392ar

Quand le texte fondateur devient fondement meurtrier

2009· article· fr· W2019178456 on OpenAlexaffvenue
Jean-Marc Gauthier

Bibliographic record

VenueThéologiques · 2009
Typearticle
Languagefr
FieldArts and Humanities
TopicBiblical Studies and Interpretation
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

La lettre tue, mais l’Esprit vivifie. Cette petite phrase, lettre autorisée au coeur du texte fondateur qu’est la Bible, nous invite à porter un regard critique sur le type de rapport à ce texte lui-même. Que fonde le texte reçu comme fondateur? Qu’en est-il du rapport au fondement quand la lecture se fait mortifère et que le texte tue, littéralement? Comment lire ce texte pour qu’il vivifie? Certains exemples historiques de lectures mortifères du texte fondateur sont envisagées pour montrer comment peut devenir meurtrière l’autorité accordée à certains textes. Puis un texte longtemps ostracisé (Jn 7,53-8,11) retient l’attention comme mise en scène d’une résistance à l’utilisation accusatrice du fondateur-texte. Ce qui amène à revoir certaines approches du ou des textes fondateurs et à proposer des critères pour une herméneutique vivifiante.

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)0.003
metaresearch head score (Gemma)0.009
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.047

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.015
Scholarly communication0.0080.007
Open science0.0010.003
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0140.003

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.

Opus teacher head0.048
GPT teacher head0.266
Teacher spread0.219 · 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
GenreOther

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".

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Citations0
Published2009
Admission routes2
Has abstractyes

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