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Record W7132913549

The Impact of Ongoing Coparenting Conflict on Female Domestic Violence Survivors and their Parenting of Very Young Children

2021· dissertation· W7132913549 on OpenAlexaff
Alena Lawrence

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsEmployment and Social Development Canada
Fundersnot available
KeywordsCoparentingDomestic violenceMental healthPoison controlInjury preventionHuman factors and ergonomicsSuicide prevention
DOInot available

Abstract

fetched live from OpenAlex

There are inconsistent results from studies on how maternal parenting is affected by experiencing domestic violence (DV) and most research does not consider ongoing DV or even ongoing conflict. In a sample of 42 mothers of children aged 2 months to 77 months, mostly DV survivors, the relationship between previous week conflict in the coparenting relationship and maternal parenting capacity was assessed, as well as whether maternal trauma symptoms mediated this relationship. Analyses found an indirect, but not direct, relationship between ongoing conflict and self-reported maternal parenting capacity, specifically parenting related stress and parenting self-efficacy, through maternal trauma symptoms. The results suggest ongoing conflict may be important to consider in research examining the maternal parenting of DV survivors and that the focus on improving mothers’ mental health and parenting may be misplaced if there is still ongoing conflict.

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)0.006
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 score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
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 head0.023
GPT teacher head0.376
Teacher spread0.353 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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