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Record W2340872382 · doi:10.1111/nana.12157

Nationalism, religion, and abortion policy in four Catholic societies

2016· article· en· W2340872382 on OpenAlexafffundabout
Iga Kozlowska, Daniel Béland, André Lecours

Bibliographic record

VenueNations and Nationalism · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsUniversity of OttawaUniversity of Saskatchewan
FundersCanada Research Chairs
KeywordsAbortionSecularizationNational identityNationalismLiberalizationPoliticsReligious identityIdentity (music)SociologyPolitical scienceGender studiesPolitical economyLawReligiosity

Abstract

fetched live from OpenAlex

Abstract Over the last decade, a growing number of scholars have tackled the changing relationship between national identity and social policy. In this article, we explore the relationship between abortion policy and the historical and political construction of national identity as it relates to religious norms and symbols. Focusing on two main cases, Ireland and Poland, Catholic societies in which abortion rights are severely restricted, we argue that, in political discourse and institutions, a strong relationship between the Catholic Church and national identity helps opponents of abortion enact and maintain such restrictions in the name of religious norms embedded in strong claims about national identity. After exploring these two main cases, we briefly turn to Spain and Québec, Catholic societies that, in recent decades, have witnessed a secularisation of their national identity correlated to a liberalisation of abortion rights. This suggests that, at least in Catholic societies, the decline of a religious national identity is likely to favour a liberalisation of abortion rights.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.005
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.017
GPT teacher head0.322
Teacher spread0.305 · 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 designObservational
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

Citations41
Published2016
Admission routes3
Has abstractyes

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