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Record W7133021806

Maternal Attachment, Maternal Sensitivity, and Child Socio-emotional and Cognitive Development: A Mediation Model

2024· dissertation· W7133021806 on OpenAlexaboutno aff
Harmoni Monique Watson

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsMaternal sensitivityCognitionMediationCognitive developmentChild development
DOInot available

Abstract

fetched live from OpenAlex

There is a gap in research investigating the relation between the attachment of mothers, child development, and the mechanisms which connect them. The goal of this study was to determine whether maternal cognitive sensitivity mediated the relationship between maternal anxious or avoidant attachment and various child developmental outcomes. This cross-sectional study assessed maternal attachment at 24-months, maternal cognitive sensitivity at 24-months, and child development with the ASQ-3 and MCHAT-R at 24-months and the NIH Toolbox at 54-months. Data was sourced from the Ontario Birth Study, with 354 mother-child dyads being included at 24-months, and 191 mother-child dyads at 54-months. Mediation analyses suggest that maternal cognitive sensitivity did not mediate the relationship between maternal attachment and child development, but both attachment dimensions and maternal cognitive sensitivity predicted different child outcomes. These findings suggest that while maternal attachment can predict child development, it does not do so through maternal cognitive sensitivity.

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)0.006
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 score0.013
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.021
GPT teacher head0.395
Teacher spread0.374 · 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
Published2024
Admission routes1
Has abstractyes

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