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Record W3041001524 · doi:10.24124/c677/20201758

After Identity Politics? Faith in Liberal Citizenship

2020· article· en· W3041001524 on OpenAlexaffvenueabout
Amyn B. Sajoo

Bibliographic record

VenueCanadian Political Science Review · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsCitizenshipPoliticsPopulismSociologyIdentity politicsSolidaritySecularismPluralism (philosophy)Civic virtueLiberalismPolitical scienceFaithLawGender studiesEpistemology

Abstract

fetched live from OpenAlex

The ambivalent role of religion in modern citizenship is hardly new, whether in terms of the “hardware” (legal-political institutions and processes) or “software” (public attitudes and habits). Faith narratives can vigorously contest liberal claims of civil belonging and freedom, such as on gender and secularism. Yet liberal citizenship also benefits from justice claims anchored in interpretations of religion, ranging from equality and solidarity to nonviolence and reconciliation. Identity politics is a formative part of liberal citizenship, with a dominant tribal discourse legitimated by the accommodation of minority ethno-religious claims to equity and equality. Nativist populism aggravates an already adversarial relationship between faith and liberal citizenship, notably for minority religions. This paper argues for symbiosis between liberal citizenship and diverse religious identities—a political theology that takes pluralism seriously. While liberalism purports to minimize expectations of individual virtue, civic pluralism calls for the inclusion of collective and individual ethical commitments, beyond ruptures of secular and sacred that shape a jurisprudence on the “burdens of accommodation.” Evidence from Canada, among other liberal settings, suggests that the alternative is civic fragmentation that favours majoritarian tribalism.

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.845
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.045
GPT teacher head0.374
Teacher spread0.329 · 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.

Study designTheoretical or conceptual
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

Citations2
Published2020
Admission routes3
Has abstractyes

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