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Record W4221121192 · doi:10.3935/ljsr.v28i3.368

THE ROLE OF COMPLEX POSTTRAUMATIC STRESS DISORDER AND PROTECTIVE FACTORS IN ACCEPTING-REJECTING DIMENSION OF PARENTING OF WOMEN SURVIVORS OF ABUSE

2022· article· en· W4221121192 on OpenAlexaff
Maja Misic, Jelisaveta Todorović, Andjelija Petrovic

Bibliographic record

VenueAnnual of Social Work · 2022
Typearticle
Languageen
FieldPsychology
TopicGrief, Bereavement, and Mental Health
Canadian institutionsBurnaby Hospital
Fundersnot available
KeywordsPsychologyModerationClinical psychologyPosttraumatic stressNeglectPsychological resilienceAggressionAffectionChildhood abuseDevelopmental psychologyChild abuseInjury preventionPsychiatryPoison controlPsychotherapistSocial psychologyMedicine

Abstract

fetched live from OpenAlex

ABSTRACT The research intended to establish a connection between complex posttraumatic stress disorder (C-PTSD) and the accepting/rejecting parenting of mothers, survivors of complex trauma. The goal was also to examine how protective factors, resilience, and perceived social support moderate the effect of C-PTSD on the mother’s rejecting parenting, as well as how parental traumas and their parenting predicts parenting of women survivors. The study results are based on a survey completed by 100 women at the age 19 – 64. The sample had two groups: mothers with C-PTSD and a control group without C-PSTD. The results indicate that complex trauma can predict mother’s parenting rejection. C-PTSD displays correlations with all five dimensions of the negative parenting styles (lackof affection/neglect/aggression/control/undifferentiated rejection). Resilience acted as a moderator between C-PTSD and rejecting parenting. Parental traumas and their rejecting parenting manifest in women’s parenting Key words: C-PTSD, trauma exposure, women, parenting,resilience

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 score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.316
Teacher spread0.293 · 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

Citations1
Published2022
Admission routes1
Has abstractyes

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