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Record W4381568317 · doi:10.26034/fr.zfrk.2016.026

défi du pluralisme et la contestation juridique d’une formation obligatoire pour toutes et tous en Éthique et culture religieuse

2016· article· de· W4381568317 on OpenAlexaboutno aff
Luc Bégin

Bibliographic record

VenueZeitschrift für Religionskunde · 2016
Typearticle
Languagede
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Das Curriculum Ethik und religiöse Kultur (Ethique et culture religieuse - ECR), das 2008 in Québec eingeführt wurde, bildet die letzte Etappe eines langen Prozesses der Dekonfessionalisierung der Schulen in Québec. Dieses nicht konfessionelle Curriculum, das sich als Antwort auf die Herausforderungen des Pluralismus der québec’schen Gesellschaft versteht, hat einen gewissen Widerstand, darunter zwei juristische Anfechtungen, ausgelöst. In beiden Fällen war das Obligatorium Teil der Auseinandersetzung. Der Beitrag analysiert diese beiden juristischen Fälle, indem er die darin entfalteten zentralen Argumente in Bezug auf die Ziele und die Struktur des ECR-Curriculums situiert. Die Wichtigkeit, das Obligatorium des Unterrichts beizubehalten – um adäquat auf die Herausforderungen des Pluralismus antworten zu können – und die Frage der Verletzung der Religionsfreiheit, welcher von den Richtern in den verschiedenen Instanzen besondere Aufmerksamkeit zukam, stehen im Zentrum der Analyse.

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)0.012
metaresearch head score (Gemma)0.019
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 score0.410
Threshold uncertainty score0.816

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.019
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0150.043
Scholarly communication0.0110.005
Open science0.0010.006
Research integrity0.0030.005
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 head0.013
GPT teacher head0.330
Teacher spread0.317 · 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
Published2016
Admission routes1
Has abstractyes

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