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Record W2749758178 · doi:10.3138/jcfs.48.1.41

Northern Irish Attitudes Toward Gendered Family Roles Before and After the Good Friday Agreement

2017· article· en· W2749758178 on OpenAlexvenueno aff
Mick Cunningham

Bibliographic record

VenueJournal of Comparative Family Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIrish and British Studies
Canadian institutionsnot available
Fundersnot available
KeywordsIrishSalience (neuroscience)Gender roleIdeologyNorthern irelandSurvey data collectionDemographic economicsGender studiesSocial psychologyDemographyPolitical scienceSociologyGeographyPsychologyPoliticsLaw

Abstract

fetched live from OpenAlex

The study investigates attitudes about the gendered division of labor in families in Northern Ireland. There is a paucity of existing research on this topic, and previous studies lack even basic controls for potential confounding factors. Northern Ireland is a particularly interesting case due to its history of violent conflict and to the strong salience of religion in the region. The current study investigates patterns of change in gender attitudes as the region moved from a period of relatively intense conflict to one of reduced conflict intensity. In order to make inferences about the influence of violent conflict on gender ideology, the analysis compares gender attitudes in Northern Ireland with those in eight other European countries and also assesses the influence of religious community membership on gender attitudes change. Data come from the 1994 and 2002 waves of the International Social Survey Program, supplemented with additional survey data from Northern Ireland. The findings offer little evidence that Northern Irish individuals increased their support for women’s non-domestic roles as the conflict’s intensity waned. Multivariate regression models suggest, further, that while Catholics were more egalitarian than Protestants in the early period, Catholic support for egalitarian family roles decreased between 1994 and 2002.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.124
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.104
GPT teacher head0.384
Teacher spread0.280 · 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 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

Citations2
Published2017
Admission routes1
Has abstractyes

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