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Record W2109254045 · doi:10.1002/jcop.20417

Associations between mothers' experience with the troubles in Northern Ireland and mothers' and children's psychological functioning: the moderating role of social identity

2010· article· en· W2109254045 on OpenAlexaff
Christine E. Merrilees, Ed Cairns, Marcie C. Goeke‐Morey, Alice C. Schermerhorn, Peter Shirlow, E. Mark Cummings

Bibliographic record

VenueJournal of Community Psychology · 2010
Typearticle
Languageen
FieldPsychology
TopicMigration, Health and Trauma
Canadian institutionsQueen's University
FundersEunice Kennedy Shriver National Institute of Child Health and Human Development
KeywordsPsychologyMental healthCoping (psychology)Identity (music)Developmental psychologySocial identity theorySocial psychologyClinical psychologyPsychiatrySocial group

Abstract

fetched live from OpenAlex

Relatively little research has examined the relations between growing up in a community with a history of protracted violent political conflict and subsequent generations' well-being. The current article examines relations between mothers' self-report of the impact that the historical political violence in Northern Ireland (known as the Troubles) has on her and her child's current mental health. These relations are framed within the social identity model of stress, which provides a framework for understanding coping responses within societies that have experienced intergroup conflict. Mother-child dyads (N = 695) living in Belfast completed interviews. Results suggest that the mother-reported impact of the Troubles continue to be associated with mothers' mental health, which, in turn, is associated with her child's adjustment. The strength of mothers' social identity moderated pathways between the impact of the Troubles and her mental health, consistent with the social identity model of stress.

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)0.001
metaresearch head score (Gemma)0.005
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 score0.045
Threshold uncertainty score0.090

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.002
Research integrity0.0000.001
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 head0.030
GPT teacher head0.360
Teacher spread0.330 · 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

Citations37
Published2010
Admission routes1
Has abstractyes

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