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Record W2978548446 · doi:10.1522/revueot.v28n1.1020

Pour une approche interculturelle dans l’étude de la relation entre les bénévoles et les communautés hôtes dans le bénévolat international

2019· article· fr· W2978548446 on OpenAlexaffvenueabout
Mathilde Gouin-Bonenfant

Bibliographic record

VenueRevue Organisations & territoires · 2019
Typearticle
Languagefr
FieldArts and Humanities
TopicLinguistics and Discourse Analysis
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesPhilosophySociologyPolitical science

Abstract

fetched live from OpenAlex

Les écrits sur la relation entre les bénévoles et les communautés hôtes dans le bénévolat international sont partagés entre deux postures opposées. La première, enthousiaste, soutient que le bénévolat international favorise un meilleur rapprochement interculturel que le tourisme. La seconde, critique, y met de l’avant la reproduction des rapports de pouvoir postcoloniaux. Pour surpasser cette opposition, cet article propose un cadre théorique interculturel, inspiré de la philosophie herméneutique de Gadamer, des approches systémiques des relations humaines, de l’ethnographie de la communication et de la sociolinguistique interactionnelle. Pour illustrer l’apport de celui-ci, une étude de cas sur la relation entre les stagiaires et leurs familles d’accueil dans les stages Québec Sans Frontières au Sénégal sera présentée. Celle-ci mettra en lumière trois dynamiques concomitantes dans cette relation : la (co)production de savoirs culturels, la négociation de nouveaux systèmes de communication hybrides et temporaires et le développement de savoir-faire interculturels

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)0.012
metaresearch head score (Gemma)0.009
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: none
Teacher disagreement score0.021
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.009
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.005
Science and technology studies0.0080.025
Scholarly communication0.0140.011
Open science0.0020.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0110.001

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 head0.017
GPT teacher head0.255
Teacher spread0.238 · 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
Published2019
Admission routes3
Has abstractyes

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