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Record W1500315590

Sibling Mother-Infant Attachment: Different Patterns of Interaction Lead to Similar Relationships

2009· article· en· W1500315590 on OpenAlexaff
Kathleen O’Connor, Ya F. Xue, Tara Morley, Greg Moran, David R. Pederson, Sandi Bento, Heidi N. Bailey

Bibliographic record

VenueScholarship@Western (Western University) · 2009
Typearticle
Languageen
FieldPsychology
TopicCognitive Abilities and Testing
Canadian institutionsWestern University
Fundersnot available
KeywordsDevelopmental psychologySiblingPsychologyLead (geology)Geology
DOInot available

Abstract

fetched live from OpenAlex

PURPOSE: To investigate the role of maternal sensitivity and interactive behavior in sibling attachment non-/concordance. RESULTS:1) Global measures of sensitivity suggest that mothers of concordant-secure and non-concordant infants demonstrate a similar degree of sensitivity towards each child. 2) Mothers with non-concordant infants interact more similarly with each child on domains of maternal sensitivity, compared to mothers whose infants are concordant.\nCONCLUSION: The quality of the attachment relationship in families with non-concordant mother-infant relationships –in contrast to families with concordant dyads –does not appear to be systematically affected by maternal sensitivity as typically assessed. More detailed assessment of the interactions suggest that mothers with non-concordant relationships with their infants may be unable to adapt their behaviour to suit the unique needs of each child.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.183
GPT teacher head0.377
Teacher spread0.194 · 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 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

Citations1
Published2009
Admission routes1
Has abstractyes

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