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Record W2087419177 · doi:10.1353/ces.2011.0025

Du «Comment» participer à «Pourquoi» participer?: Analyse de la notion de participation dans le multiculturalisme canadien et l’interculturalisme québécois

2011· article· en· W2087419177 on OpenAlexvenueaboutno aff
Marie-Michèle Sauvageau

Bibliographic record

VenueCanadian ethnic studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This paper presents a comparison between the two ways of managing immigration and diversity existing in Canada: multiculturalism (Canada-wide) and interculturalism (Quebec). While some authors (see Juteau, McAndrew and Pietrantonio 1998) argue that the two policies are more similar than different, others, like Gérard Bouchard (2011), argue that interculturalism is a rather unique model of managing diversity in Quebec. In this paper we aim to make a contribution to the debate by providing an analysis of the way both models understand immigrants’ participation in their new society. Indeed, both models seem to consider participation as having a central role in the process of integrating newcomers. However, we will show that the reasons put forward by interculturalism and by multiculturalism to explain their interest in participation are very different. On the one hand, multiculturalism recognizes the importance of participation as a way of protecting individual identities, in line with the spirit of liberalism. On the other hand, for interculturalism, the issue of participation seems to be more fundamental: not only is participation one of the founding pillars of the policy, but it is also consistent with the political, legal and historical characteristics of the province of Quebec.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.671
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
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 head0.128
GPT teacher head0.361
Teacher spread0.234 · 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 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
Published2011
Admission routes2
Has abstractyes

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