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Record W4250184436 · doi:10.3138/topia.17.131

Quebec Transnationalisms: Interview with Micheline Labelle and Rachad Antonius

2007· article· en· W4250184436 on OpenAlexvenueaboutno aff
Topia Round Table

Bibliographic record

VenueTOPIA Canadian Journal of Cultural Studies · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsTransnationalismMainstreamRacializationSociologyDiasporaGender studiesMulticulturalismScholarshipMedia studiesEthnic groupAnthropologyPolitical scienceLawPoliticsPedagogy

Abstract

fetched live from OpenAlex

On January 19, Claire Roberge and Jenny Burman interviewed Prof. Micheline Labelle and Prof. Rachad Antonius, two influential Quebec scholars based at Université du Québec à Montreal. Labelle and Antonius were invited to discuss their own research in the areas of transnationalism, citizenship and ethnicity in Quebec, racialization of « ethnocultural communities » and mass media discourses. They also discussed historical and current examples of complementary academic research in Quebec that mobilizes the conceptual framework of transnationalism. The interview transcript below begins with the issue of the critical relevance of diaspora and transnationalism in Quebec scholarship. It proceeds to address mainstream media coverage of Arab and Muslim communities in Québécois and Canadian mainstream press; multiculturalism and interculturalism; transnational social movements and activism; the role of quantitative methodologies in social sciences research on transnationalism; and the relationship between collective memory, state recognition or reparation and diasporic communities.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.484

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0360.007
Scholarly communication0.0040.003
Open science0.0010.002
Research integrity0.0040.007
Insufficient payload (model declined to judge)0.0080.001

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 head0.035
GPT teacher head0.293
Teacher spread0.259 · 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 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

Citations0
Published2007
Admission routes2
Has abstractyes

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