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Record W2785876627 · doi:10.7202/1042890ar

L’intervention en contexte de sport auprès des jeunes

2018· article· fr· W2785876627 on OpenAlexaffvenue
Julien Thibault Lévesque, Marc Molgat, Nicolas Moreau

Bibliographic record

VenueCanadian social work review · 2018
Typearticle
Languagefr
FieldSocial Sciences
TopicSport and Mega-Event Impacts
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHumanitiesRite of passageRiteArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Cet article est issu d’une étude portant sur l’analyse d’un rite de passage vécu au sein du programme d’intervention par le sport de l’organisme montréalaisDesÉquilibres. Il vise à explorer les conditions nécessaires à l’obtention de résultats positifs à l’intérieur d’interventions psychosociales en contexte de sport. Plus spécifiquement, la recherche vise à comprendre comment les interventions sportives peuvent être vécues comme un rite de passage. Pour ce faire, une analyse de données secondaires a été réalisée auprès de 14 jeunes inscrits en secondaire 3, âgés de 14 à 18 ans et ayant participé au programmeDesÉquilibres. L’analyse du discours des participants a permis de relever cinq éléments essentiels pour que les interventions sportives puissent être vécues avec succès comme un rite de passage : l’existence d’une épreuve physique et mentale, la mise en oeuvre d’une symbolique commune de l’épreuve, la reconnaissance sociale des participants, le présence d’un passeur et la mise en valeur du rôle et de la place de chacun au sein du groupe. Enfin, l’analyse permet de souligner comment cette intervention sportive « ritualisée » contribue au devenir adulte des participants.

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0020.002
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 head0.045
GPT teacher head0.340
Teacher spread0.295 · 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 designQualitative
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

Citations3
Published2018
Admission routes2
Has abstractyes

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Same venueCanadian social work reviewSame topicSport and Mega-Event ImpactsFrench-language works237,207