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Record W2962785487

L'école à l'épreuve de la diversité ethnoculturelle de son personnel : regards compréhensifs croisés

2018· article· fr· W2962785487 on OpenAlexaboutno aff
Numéro complet

Bibliographic record

Venuenot available
Typearticle
Languagefr
FieldSocial Sciences
TopicFrench Language Learning Methods
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceSociologyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Ce numero d’Alterstice s'inscrit dans le contexte actuel, ou les rencontres interculturelles sont multipliees. La diversification des societe fait naitre differentes problematiques, notamment celles liees a l'integration sociale et professionnelle des immigrants et de leurs familles, en particulier dans les grands centres urbains, ou ils ont davantage tendance a s'etablir. Mais c'est a l'ecole, dans les etablissements scolaires et leurs environnements, lieux privilegies de rencontres, de maillage et de metissage, que cet enjeu prend forme, dans des dynamiques de socialisation aux codes du vivre ensemble. Nous interrogeons ici les experiences et relations interculturelles au sein de la communaute educative, ce qui implique de porter attention a une multiplicite d'acteurs : enseignants, eleves, professionnels (orthopedagogues, educateurs specialises, etc.), equipe de direction, employes de soutien (secretaire, concierge, etc.), familles, organismes communautaires, etc. Divers eclairages theoriques et empiriques sont proposes pour apprehender les processus d'ajustements continus et reciproques dans la negociation de cette diversite a l'ecole, au travers des interactions quotidiennes. Sont regroupes d’abord les textes qui rapportent specifiquement la perspective des enseignants formes a l'etranger a propos de leurs experiences d'integration dans le nouveau milieu professionnel, au Quebec et en Ontario. Sont ensuite proposes des textes qui croisent les regards de differents acteurs sur la diversite ethnoculturelle au sein de l'ecole et les defis qu'elle souleve, mais aussi les ressources qu'elle constitue pour les relations au sein de l'ecologie professionnelle.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.726
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.034
GPT teacher head0.339
Teacher spread0.304 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
Domainnot available
GenreOther

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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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