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Record W2476126269 · doi:10.2307/25606122

La salle de classe comme théâtre: une recherche de terrain chez les Sioux oglala

2003· article· fr· W2476126269 on OpenAlexvenueno aff
Murray L. Wax

Bibliographic record

VenueAnthropologica · 2003
Typearticle
Languagefr
FieldSocial Sciences
TopicEducation Methods and Practices
Canadian institutionsnot available
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

L'A. presente ses recherches sur l'education dans les reserves indiennes, et plus particulierement ses recherches de terrain des annees soixante parmi les Sioux oglala de la reserve de Pine Ridge, dans le Dakota du Sud. Il porte plus precisement son attention sur ce premier terrain parce qu'il permet aussi d'illustrer les difficultes que rencontre un chercheur inexperimente, et que, par ailleurs, il fait apparaitre les dynamiques sociales des systemes scolaires. L'A. expose d'abord quelques caracteristiques de la demarche de terrain telle qu'elle lui a ete enseignee a l'Universite de Chicago. Il indique egalement les elements utiles pour comprendre la situation des Sioux au moment de l'enquete. Il analyse ensuite la scolarisation des Sioux oglala, en suivant pour une part le fil chronologique de son enquete parce qu'il permet d'acceder, a travers les difficultes rencontrees, aux caracteristiques centrales des comportements des Sioux et de leurs familles a l'egard de l'ecole. Finalement, a partir du cas des Sioux oglala, il remarque que le travail de terrain peut devenir un exemple de l'instruction par experience, de l'instruction par apprentissage et immersion.

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 score0.402
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0080.004
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.476
GPT teacher head0.554
Teacher spread0.078 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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