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Initiating a Caregiving Relationship: Pregnancy and Childbirth Factors as Predictors of Maternal Sensitivity

2010· article· en· W1564710658 on OpenAlexafffund
Annie Bernier, Véronique Jarry‐Boileau, George M. Tarabulsy, Raphaële Miljkovitch

Bibliographic record

VenueInfancy · 2010
Typearticle
Languageen
FieldMedicine
TopicMaternal Mental Health During Pregnancy and Postpartum
Canadian institutionsUniversité LavalUniversité de Montréal
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsChildbirthMaternal sensitivityPregnancyPsychologyObstetricsDistressDevelopmental psychologyMedicineClinical psychology

Abstract

fetched live from OpenAlex

The aim of this study was to investigate the relations between pregnancy and childbirth factors and subsequent quality of maternal interactive behavior in a sample of 116 full-term infants and their mothers. Mothers reported on the conditions of childbirth when infants were 6-8 months of age, and their interactive behavior was observed during a home visit at 12 months. Results showed that mothers who did not report health problems during pregnancy and who had longer pregnancies, shorter hospital stays, natural deliveries, and infants with greater birthweight were found to be more sensitive during interactions with infants at 12 months. All these relations held after accounting for socio-economic factors and maternal psychological distress, except for the effect of type of delivery. This pattern of results, however, was almost exclusively due to mothers who already had at least one other child. Very few such relations were found among primiparous mothers.

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)0.004
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
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.016
GPT teacher head0.286
Teacher spread0.271 · 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

Citations15
Published2010
Admission routes2
Has abstractyes

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