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Record W2750324758 · doi:10.7202/1040872ar

Une rhétorique de réconciliation

2017· article· fr· W2750324758 on OpenAlexvenueno aff

Bibliographic record

VenueThéologiques · 2017
Typearticle
Languagefr
FieldArts and Humanities
TopicCatholicism and Religious Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtConciliationPolitical science

Abstract

fetched live from OpenAlex

Suite à la demande de la réforme faite par Vatican II, un nouveau Rituel intitulé « Ordo Paenitentiae » fut publié en 1974. Bien qu’il ait réouvert une fenêtre sur une pratique de l’Église antique, longue de huit siècles, en mettant en oeuvre la célébration communautaire du sacrement de réconciliation avec confession et absolution collectives, ce Rituel romain se tenait encore entre deux théologies, à savoir la théologie de la réconciliation et celle de la pénitence. Plusieurs pays n’ont fait que le traduire, mais les pays francophones ont voulu adapter ce texte en ajoutant certains éléments propres. Dans notre article, en suivant le cadre théorique que propose J.W. O’Malley, nous examinons les notes doctrinales et pastorales de ce Rituel en sa version française, que nous comparons avec la version latine pour repérer les changements au niveau de la forme littéraire, par rapport, par exemple, au concile de Trente. Nous considérons que le Rituel francophone, en se situant dans le mouvement innové par Vatican II, a privilégié la théologie de la réconciliation qui insiste sur la démarche communautaire de ceux qui désirent recevoir le sacrement du pardon.

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)0.006
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 score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0120.029
Scholarly communication0.0080.008
Open science0.0020.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0080.001

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 head0.032
GPT teacher head0.284
Teacher spread0.253 · 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".

Quick stats

Citations0
Published2017
Admission routes1
Has abstractyes

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