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Record W2565472181 · doi:10.13169/islastudj.3.1.0029

A Hidden Ideological Scheme under New Secularism: Explaining a Peak of Islamphobia in Quebec (2013-2014)

2015· article· en· W2565472181 on OpenAlexaboutno aff
Siegfried L. Mathelet

Bibliographic record

VenueIslamophobia Studies Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicMulticulturalism, Politics, Migration, Gender
Canadian institutionsnot available
Fundersnot available
KeywordsSecularismIdeologyIslamophobiaVictoryContext (archaeology)NarrativePoliticsTheme (computing)Representation (politics)IslamSociologyGender studiesEpistemologyPolitical scienceReligious studiesHistoryLawPhilosophyLinguistics

Abstract

fetched live from OpenAlex

This paper offers a description of the context of the recent growth of Islamophobia in Quebec, and it submits a hypothesis on the process responsible for it. In the first part, we use the concept of “mute zone” from the social representation theory to advance a theoretical hypothesis based on a first sight analysis. We argue that some elements from an ideological victory of far right narratives invested the social representation of secularism, that they reveal themselves as a “mute zone” acting in periphery of the theme of secularism, and, accordingly, that they act as a sleeping ideological scheme, here, favoring Islamophobia. In the second part, we pursue the analysis further to show how this peripheral scheme appeared within the narrative of different actors and groups supporting a ban on religious conspicuous signs, from the right side to the left side of the political spectrum.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.050
Threshold uncertainty score0.360

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.006
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.000

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 head0.226
GPT teacher head0.428
Teacher spread0.202 · 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

Citations4
Published2015
Admission routes1
Has abstractyes

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