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Record W2570608359 · doi:10.7202/1037512ar

Immigrants et réfugiés au prisme de la vie sociale des droits

2016· article· fr· W2570608359 on OpenAlexaffvenueabout
Francine Saillant, Joseph J. Lévy, Alfredo Ramirez-Villagra

Bibliographic record

VenueAnthropologie et Sociétés · 2016
Typearticle
Languagefr
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsUniversité du Québec à MontréalUniversité Laval
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

La proposition s’appuie sur une recherche en cours portant sur la mémoire des droits dans les organismes communautaires au Québec sur une période de cinquante ans (1960-2010), laquelle rassemble les témoignages d’acteurs-témoins du mouvement dans cinq secteurs d’action, ceux des femmes, de la migration, du handicap, de la santé mentale et des LGBT. L’article propose une analyse préliminaire de ce matériel, qui retient les propos de 16 des acteurs-témoins rencontrés dans le secteur migration, lesquels portent sur les principales luttes auxquelles ils ont participé. Une attention particulière est portée à la formulation du litige et aux interactions entre la société civile et le gouvernement, en particulier les instances de l’immigration. La question du travail fait l’objet d’analyses spécifiques. La formulation du litige, soit le différend entre les acteurs-témoins, les groupes qu’ils représentent et le pouvoir étatique ainsi que la société dominante, permet de voir comment s’expriment et se transforment les idées de droit et plus généralement de droits humains dans cet univers spécifique. Le concept de vie sociale des droits est mis de l’avant en relation avec la mémoire collective, le témoignage, et la problématique de la culture ou de la vernacularisation des droits humains.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.392
Threshold uncertainty score0.789

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.006
Scholarly communication0.0030.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.085
GPT teacher head0.482
Teacher spread0.396 · 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 designNot applicable
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
Published2016
Admission routes3
Has abstractyes

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