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Record W2912209250 · doi:10.1111/imig.12555

Immigration, Bureaucracies and Policy Formulation: The Case of Quebec

2019· article· en· W2912209250 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueInternational Migration · 2019
Typearticle
Languageen
FieldHealth Professions
TopicHealthcare Systems and Practices
Canadian institutionsConcordia University
FundersConcordia University
KeywordsBureaucracyImmigrationImmigration policyPublic administrationScholarshipPoliticsPolitical scienceContext (archaeology)Immigration reformModernization theoryPolitical economySociologyMandatePublic policyLaw

Abstract

fetched live from OpenAlex

Abstract Based on an ethnography of one illuminating case – the formulation of new immigration policy statement entitled “Together, we are Quebec” between 2014 and 2016 – this article argues that policy formulation is an important site of power and influence over immigration‐related policies for bureaucrats. In dialogue with concepts and theories from public administration, it demonstrates that a broad mandate of reform and modernization, coupled with political tensions surrounding diversity, created opportunities for the bureaucracy to influence Quebec's immigration policy following its interests, relations, expertise and experience. In this case, the bureaucracy's influence operated through two pathways: problem definition and consensus building. While this influence is partially contingent on political and institutional characteristics of the Quebec context, this case shows that scholarship on immigration policy and politics should embrace a much broader reading of the influence of bureaucrats on the content and development of immigration‐related policies.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.741
Threshold uncertainty score0.891

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.473
Teacher spread0.417 · 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