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Record W4414195670 · doi:10.7202/1119507ar

Les experts de la bureaucratie migratoire : les intermédiaires de la migration guatémaltèque au Québec

2025· article· fr· W4414195670 on OpenAlexaffvenueabout
Mylène Coderre

Bibliographic record

VenuePolitique et Sociétés · 2025
Typearticle
Languagefr
FieldSocial Sciences
TopicMigration, Identity, and Health
Canadian institutionsConcordia University
Fundersnot available
KeywordsDeportationForce majeureQualitative analysis

Abstract

fetched live from OpenAlex

La migration de travail temporaire au Québec est régie par un ensemble complexe de règles et de procédures générant une bureaucratie difficile à naviguer pour les travailleurs migrants et les employeurs. Cela nourrit la formation et la croissance d’une industrie migratoire constituée d’acteurs privés (consultants, agences, etc.) qui mobilisent leur savoir technique pour garantir la mise en oeuvre des politiques sur le terrain. S’appuyant sur une recherche qualitative menée entre 2019 et 2022 auprès d’agriculteurs québécois, d’agences de recrutement et de travailleurs migrants guatémaltèques, cet article analyse comment les intermédiaires privés se convertissent en « techniciens de l’État » en faisant fonctionner les rouages bureaucratiques de la migration au quotidien.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.116
Threshold uncertainty score0.233

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0120.005
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.002
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 head0.056
GPT teacher head0.470
Teacher spread0.414 · 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".

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Citations0
Published2025
Admission routes3
Has abstractyes

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