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Record W4382057553 · doi:10.1080/01596306.2023.2227107

Bill 21 as an exemplar of the fragility of tolerance

2023· article· en· W4382057553 on OpenAlexaboutno aff
Dan Mamlok

Bibliographic record

VenueDiscourse Studies in the Cultural Politics of Education · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicReligious Education and Schools
Canadian institutionsnot available
Fundersnot available
KeywordsGovernment (linguistics)DemocracyFragilitySociologyBill of rightsState (computer science)Political scienceLawPublic relationsLaw and economicsPoliticsHuman rights

Abstract

fetched live from OpenAlex

In June 2019, Québec passed Bill 21, entitled: ‘An Act respecting the laicity of the State’. This bill bans public servants from wearing religious symbols in the workplace. Among the affected employees are judges, teachers, and government officers. This paper considers the ethical ramifications of Bill 21 on education. Particularly, this paper examines some prime arguments for and against abridging religious rights for teachers and public servants. Then, the paper explicates the immanent tension between the desire to advance tolerance and the exercise of intolerant practices against minorities. In this sense, the case of Bill 21 exemplifies the fragility of tolerance. Drawing from Dewey’s pragmatic understanding and agonistic models of democracy, the concluding section of this paper argues for the development of a more inclusive understanding of tolerance that will offer students educational experience and encourage them to constantly consider their predispositions and biases towards the other.

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)0.004
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.836
Threshold uncertainty score0.325

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0260.047
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0050.008
Insufficient payload (model declined to judge)0.0040.000

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 head0.098
GPT teacher head0.489
Teacher spread0.391 · 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
Published2023
Admission routes1
Has abstractyes

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