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Record W7024053664

Quebecâs Interculturalism Policy and the Contours of Implicit Institutional Discourse

2012· article· en· W7024053664 on OpenAlexaboutno aff

Bibliographic record

VenueScholarWorks@UMassAmherst (University of Massachusetts Amherst) · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicRare-earth and actinide compounds
Canadian institutionsnot available
Fundersnot available
KeywordsInterculturalismPoliticsGovernment (linguistics)Diversity (politics)SituatedState (computer science)Welfare stateOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

I approach the question of scales and political imaginaries through an exploration of how the Canadian province of Quebec is situated at the crossroads of several European and North American traditions. I discuss the relationship between the 2012 Quebec student strikes against the policies of then-Quebec premier Jean Charest and a welfare state model based on social protection, which is closer to that that found in France and several Scandinavian countries than in the rest of Canada. I then examine in depth how Quebec’s attempt to develop an alternative approach for the management of ethno-cultual diversity – often called interculturalism – has come to stand for a variety of political projects over time, despite using the same term to characterise them. Instead, interculturalism is a term which successive Quebec governments have long promoted but never defined nor explicitly framed as official policy. It is based on the power to regulate almost all migration into Quebec’s territory, which the provincial government has gradually acquired through a series of accords with the Canadian government from 1971 to 1991. I provide a detailed examination of the four main ‘phases’ of interculturalism since the 1970s. More generally, I offer reflections on how the Quebec case could help anthropology think through wider questions of institutionalisation, forms of government political culture and scale in order to understand political imaginaries.

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 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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.908

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 studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations0
Published2012
Admission routes1
Has abstractyes

Explore more

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