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Record W4229002200 · doi:10.1080/14616734.2021.1933769

Intergenerational transmission of trauma from mother to infant: the mediating role of disrupted prenatal maternal representations of the child

2021· article· en· W4229002200 on OpenAlexaff
Sarah Ahlfs-Dunn, Diane Benoit, Alissa Huth‐Bocks

Bibliographic record

VenueAttachment & Human Development · 2021
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPsychologyDevelopmental psychologyInterpersonal communicationPsychological interventionMechanism (biology)Prenatal exposureStructural equation modelingPregnancyPsychiatrySocial psychologyGestation

Abstract

fetched live from OpenAlex

Data from a multi-method, longitudinal study involving a community sample (N = 120) of pregnant women aged 18–42 were used to examine disrupted maternal representations of the child as a mechanism of the transmission of trauma from mother to infant. Using structural equation modeling, the best fitting model indicated that severity of mothers’ childhood interpersonal trauma was associated with severity of disruption in prenatal representations of the child, which in turn was associated with less secure infant-mother attachment at 1 year of age. There was a significant indirect effect of maternal childhood interpersonal trauma on infant-mother attachment insecurity via disrupted prenatal maternal representations. Findings highlight an important mechanism of trauma transmission that could be targeted in interventions with mother-infant dyads.

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)0.003
metaresearch head score (Gemma)0.010
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 score0.015
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
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)0.0010.000

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 head0.015
GPT teacher head0.347
Teacher spread0.332 · 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

Citations14
Published2021
Admission routes1
Has abstractyes

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