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Record W2540217403 · doi:10.1017/s0008423916000810

Monogamous Canadian Citizenship, Constructing Foreignness and the Limits of Harm Discourse

2016· article· en· W2540217403 on OpenAlexaffabout
Megan Gaucher

Bibliographic record

VenueCanadian Journal of Political Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicMarriage and Sexual Relationships
Canadian institutionsCarleton University
Fundersnot available
KeywordsFraming (construction)HarmCitizenshipImmigrationEnforcementArgument (complex analysis)State (computer science)Political scienceSociologyCriminologyLaw and economicsLawGeographyMedicinePolitics

Abstract

fetched live from OpenAlex

Abstract TheZero Tolerance for Barbaric Cultural Practices Act(2015) targets immigrants suspected of engaging in polygamy. While polygamy is already illegal in Canada and non-immigrant polygamous arrangements exist within Canadian borders, the framing of polygamy as a foreign practice portrays this familial arrangement as a threat to Canadian national values. Effects on women and children have traditionally provided a convincing argument for state regulation of polygamy; however, the combination of state under—and over—enforcement suggests that relying solely on a harm framework inadequately captures the complexities of state treatment. In this paper, I argue that the state's primary motivations for defending monogamy are not necessarily rooted in the avoidance of harm but in the preservation of a particular type of citizenship.

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)0.006
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.083
Threshold uncertainty score0.605

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.009
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0350.057
Scholarly communication0.0120.003
Open science0.0010.006
Research integrity0.0030.004
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 head0.054
GPT teacher head0.333
Teacher spread0.279 · 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 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

Citations22
Published2016
Admission routes2
Has abstractyes

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