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Record W653847749 · doi:10.71781/8631

Le chef scout canadien-français : son idéal, sa formation et sa mission dans quatre troupes d’Outremont (1935-1965)

2011· dissertation· fr· W653847749 on OpenAlexaboutno aff
David M. Boudreau

Bibliographic record

VenueOpen MIND · 2011
Typedissertation
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

La Fédération des scouts catholiques de la province de Québec fut fondée en 1935. Elle possédait un objectif exigeant : former des hommes, des chrétiens et des citoyens. Plus encore, elle se proposait de former des chefs aptes à influencer la société canadienne-française. Bien que chapeauté par l’Église catholique, le mouvement scout laissait aux laïcs une place prépondérante. Le scoutmestre (SM) et le chef de patrouille (CP) étaient les deux principaux chefs laïcs de la troupe scoute. Ils étaient respectivement en charge de la troupe (24 à 32 jeunes) et de la patrouille (6 à 8 jeunes). Le CP était lui-même un jeune scout. Par eux transitaient les idéaux et les systèmes de représentation inculqués aux jeunes. Ils devaient être formés adéquatement pour leur charge. Plus que de simples compétences de meneur, leur formation visait à leur transmettre un véritable rapport au monde : l’idéal du chef scout. Ce mémoire examine la méthode scoute prônée par la Fédération, tout en la nuançant avec le vécu de chefs et de jeunes scouts dans quatre troupes outremontaises. L’effet de la Révolution tranquille sur la représentation traditionnelle du chef scoute sera aussi abordé.

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)0.001
metaresearch head score (Gemma)0.001
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.058
Threshold uncertainty score0.420

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0170.010
Scholarly communication0.0050.002
Open science0.0010.002
Research integrity0.0010.002
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 head0.028
GPT teacher head0.275
Teacher spread0.247 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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