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Record W1560830284 · doi:10.7202/1077550ar

Médiations interculturelles : le retour des langues dans l’interculturel!

2012· article· fr· W1560830284 on OpenAlexaffvenueabout
Michèle Vatz-Laaroussi

Bibliographic record

VenueAlterstice Revue internationale de la recherche interculturelle · 2012
Typearticle
Languagefr
FieldSocial Sciences
TopicLinguistic and Sociocultural Studies
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsHumanitiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Cet article présente, à partir d’une réflexion sur l’espace interculturel en contexte québécois, une analyse des médiations interlinguistiques, des échanges et des rapports sociaux qui s’y développent ainsi que des spécificités reliées à la société québécoise, minorité francophone en Amérique du Nord. En illustrant la réflexion par la présentation d’un programme de maîtrise en médiation interculturelle développé à l’Université de Sherbrooke, l’auteure vérifie l’hypothèse selon laquelle le développement contemporain du champ de l’interculturel prend peu en compte, voire occulte les questions linguistiques. Les fondements et outils pédagogiques de ce programme sont analysés et des incidents critiques relevant de questions linguistiques sont présentés pour mieux saisir comment les médiations interculturelles sont aujourd’hui définies, conceptualisées et balisées par les contextes sociétaux dans lesquels elles se développent. Ainsi, grâce à une analyse réflexive, un regard critique est porté sur la formation interculturelle en milieu universitaire.

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)0.005
metaresearch head score (Gemma)0.004
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: none
Teacher disagreement score0.498
Threshold uncertainty score0.990

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0130.037
Scholarly communication0.0150.009
Open science0.0010.008
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0100.001

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 head0.175
GPT teacher head0.385
Teacher spread0.210 · 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

Citations1
Published2012
Admission routes3
Has abstractyes

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