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Record W1978638744 · doi:10.1080/14616734.2011.562410

Stability of atypical caregiver behaviors over six years and associations with disorganized infant–caregiver attachment

2011· article· en· W1978638744 on OpenAlexafffund
Sheri Madigan, Sabrina Voci, Diane Benoit

Bibliographic record

VenueAttachment & Human Development · 2011
Typearticle
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of TorontoUniversity of WindsorSickKids FoundationHospital for Sick ChildrenToronto Metropolitan University
FundersHeart and Stroke Foundation of Canada
KeywordsStrange situationPsychologyDevelopmental psychologyAttachment theoryPsychological interventionCaregiver burdenClinical psychologyPediatricsDiseasePsychiatryMedicineDementia

Abstract

fetched live from OpenAlex

The present study assessed the stability of atypical caregiver behaviors over six years. The sample included 81 mother-child dyads (27 children with cystic fibrosis, 27 with congenital heart disease, and 27 healthy controls). Attachment was assessed using the Strange Situation paradigm when the child was one year old. Atypical caregiver behaviors were assessed in the Strange Situation paradigm at one year and again in a reunion episode at seven years of age using the Atypical Maternal Behavior Instrument for Assessment and Classification (AMBIANCE). Stability of atypical caregiver behaviors over six years was established. Atypical caregiver behaviors assessed when the child was one year old were related to infant-caregiver disorganized attachment and were not associated with secure infant-caregiver attachment. The current study identifies that atypical caregiver behaviors remain stable over time which suggests that they could be targeted during interventions aimed at preventing or treating disorganized child-caregiver attachment relationships and associated negative outcomes.

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)0.006
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 score0.006
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.037
GPT teacher head0.342
Teacher spread0.306 · 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

Citations18
Published2011
Admission routes2
Has abstractyes

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