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Record W4409699642 · doi:10.1558/bsor.29383

A Minority Affair

2025· article· en· W4409699642 on OpenAlexaboutno aff
John Cappucci

Bibliographic record

VenueBulletin for the Study of Religion · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsSociologyGender studiesReligious studiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

In The Essay, John Cappucci identifies how Iranian Canadians in Ontario perceive the treatment of Baha’is in Iran. Through an online survey, the researcher asked respondents to identify what religious and political reasons might be motivating the Iranian government’s persecution of Baha’is. The 85 respondents enumerated several religious and political reasons why Baha’is are persecuted, including theological differences with Islam, usefulness as scapegoats to explain a host of societal problems in Iran, and alleged espionage for foreign powers. While the survey illuminates several suspected reasons for the persecution of the Baha’is, its limitation is that the majority of participants are self-identified Baha’is. The inclusion on non-Baha’i Iranian Canadians would certainly provide more diverse survey results, but perhaps their non-participation is an answer in itself.

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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.135
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0200.004
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0240.004

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 head0.015
GPT teacher head0.288
Teacher spread0.274 · 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
Published2025
Admission routes1
Has abstractyes

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