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Record W7132960101

The Role of Paternal Emotion Socialization in the Development of Children's Emotion Regulation in the Context of Physical Maltreatment

2014· dissertation· en· W7132960101 on OpenAlexaff
Holly McGinn

Bibliographic record

VenueTSpace · 2014
Typedissertation
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSocializationAngerContext (archaeology)NormativePoison controlSuicide preventionHuman factors and ergonomicsInjury prevention
DOInot available

Abstract

fetched live from OpenAlex

This research was designed to contribute to an understanding of child outcomes and parenting practices associated with father-perpetrated maltreatment, as well as to identify processes that may contribute to emotion regulation difficulties in maltreated children. In particular, the studies described in this dissertation investigated paternal emotion socialization practices as potential pathways to emotion dysregulation in physically maltreated children. In the first study, a normative sample of 200 young adults participated in a retrospective analysis, whereby participants completed questionnaires designed to measure the relationships between history of physical maltreatment, emotion socialization, and current-day emotion regulation. In this study, 26.9% of participants endorsed a childhood history of father-perpetrated physical maltreatment. The second study explored these same relationships in a concurrent analysis of physically maltreating and non-maltreating father-child dyads. Fourteen physically maltreated children and their fathers were recruited from the Children’s Aid Society and treatment programs for abusive fathers, and a control group matched on demographic variables was recruited from the community. Father-child dyads participated in an emotion interaction task where they discussed the child’s experience of negative emotions; interactions were videotaped and coded for fathers’ validating and invalidating responses to children’s emotions. Fathers and children also completed measures that further assessed paternal emotion socialization, as well as children’s emotion regulation. Across both studies, findings indicated that physically maltreated children experienced more difficulties with emotion regulation than their non-maltreated peers. Moreover, abusive fathers were more likely to use non-supportive (neglect, punish, invalidation) and anger magnifying socialization practices, and less likely to use supportive (reward, validation) emotion socialization. Finally, results showed that the relationship between physical maltreatment and emotion dysregulation was mediated through the indirect effects of emotion socialization (reward, neglect, punish, magnify anger, validation, invalidation). In particular, data from child maltreatment victims consistently indicated that paternal neglect of negative emotions and magnification of anger were the strongest unique mediators. Together, results highlight the important role of fathers in the regulatory development of maltreated children. Furthermore, they provide support for intervention efforts designed to decrease non-supportive emotion socialization, while fostering anger management, emotional responsivity, and emotion coaching skills for physically abusive fathers.

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)0.003
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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.342
Teacher spread0.322 · 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
Published2014
Admission routes1
Has abstractyes

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