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Record W3089717256

Le « spirituel » en éducation : une conceptualisation

2020· article· fr· W3089717256 on OpenAlexaffabout
Jacques Cherblanc, Marie-Anne Risdon

Bibliographic record

VenueConstellation (Université du Québec à Chicoutimi) · 2020
Typearticle
Languagefr
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsUniversité du Québec à Chicoutimi
Fundersnot available
KeywordsHumanitiesSociologyPedagogyEthnologyPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

Depuis 2000, l’école publique québécoise est laïque et la loi affirme que son rôle est, entre autres, de « faciliter le cheminement spirituel de chaque élève afin de favoriser son épanouissement » (Loi sur l’instruction publique [LIP], 2019, art. 36). Chaque élève a le droit de bénéficier d’un service éducatif complémentaire assumé par des intervenants : les animateurs de vie spirituelle et d’engagement communautaire (AVSEC). Leurs activités sont laïques et destinées à tous les élèves. À partir d’une analyse par théorisation ancrée des récits de pratique de 12 AVSEC, nous avons élaboré un modèle typologique du spirituel tel que pratiqué par ces AVSEC. \n \nThe Quebec public school system has been secular since 2000 and the Education Act states that its role is to “facilitate the spiritual development of students so as to promote self-fulfilment” (EA, 2019, art. 36). Moreover, every student has the right to benefit from a complementary educational service whose facilitators are called animators of spiritual care and guidance and community involvement (ASCGCI). ASCGCI’s activities are secular and intended for all students. Based on an analysis of the grounded theory of 12 ASCGCI practise narratives, we developed a typological model of the spiritual as practised by these ASCGCIs.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.393
Threshold uncertainty score0.781

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.004
Science and technology studies0.0070.047
Scholarly communication0.0080.008
Open science0.0020.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.025
GPT teacher head0.241
Teacher spread0.216 · 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 designTheoretical or conceptual
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

Citations0
Published2020
Admission routes2
Has abstractyes

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