Northern Irish Attitudes Toward Gendered Family Roles Before and After the Good Friday Agreement
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".