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Record W4288514643 · doi:10.1111/cdev.13832

A meta-analysis on observed paternal and maternal sensitivity

2022· review· en· W4288514643 on OpenAlexafffund
Audrey‐Ann Deneault, Natasha Cabrera, Jean‐François Bureau

Bibliographic record

VenueChild Development · 2022
Typereview
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsUniversity of OttawaUniversity of Calgary
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentSocial Sciences and Humanities Research Council of Canada
KeywordsMeta-analysisPsychologyMaternal sensitivityPublication biasDevelopmental psychologyDemographyCorrelationMedicine

Abstract

fetched live from OpenAlex

Two meta-analyses were conducted (N = 10,980 child-father dyads) with 93 studies published between 1983-2020, primarily in North America and Europe, on observed parental sensitivity to children (3-180 months; 48% girls; 14% non-White) in partnered mothers and fathers. The first meta-analysis found higher maternal mean levels of observed sensitivity, with a small effect size (d = -.27). Differences between parents were larger with micro coding and triadic/family assessments. Differences narrowed as a function of publication year and were not significant in European samples. The second meta-analysis identified a moderate correlation between observed maternal and paternal sensitivity (r = .23 after adjusting for probable publication bias). Correlations were larger in Middle Eastern samples and with composite sensitivity scales.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.906
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.239
GPT teacher head0.346
Teacher spread0.107 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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

Citations38
Published2022
Admission routes2
Has abstractyes

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