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Record W4391846986 · doi:10.1037/dev0001677

Attachment relationship quality with mothers and fathers and child temperament: An individual participant data meta-analysis.

2024· review· en· W4391846986 on OpenAlexafffund
Or Dagan, Carlo Schuengel, Marije L. Verhage, Sheri Madigan, Glenn I. Roisman, Marinus H. van IJzendoorn, Marian J. Bakermans‐Kranenburg, Robbie Duschinsky, Abraham Sagi‐Schwartz, Jean‐François Bureau, Rina D. Eiden, Brenda L. Volling, Maria S. Wong, Sarah J. Schoppe‐Sullivan, Ora Aviezer, Geoffrey L. Brown, Julie Reiker, Sarah C. Mangelsdorf, Pasco Fearon, Kristin Bernard, Mirjam Oosterman

Bibliographic record

VenueDevelopmental Psychology · 2024
Typereview
Languageen
FieldPsychology
TopicAttachment and Relationship Dynamics
Canadian institutionsUniversity of OttawaUniversity of Calgary
FundersNational Institute of Child Health and Human DevelopmentUniversidade do PortoEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUniversity of HaifaUniversiteit van AmsterdamUniversidade do MinhoUniversity College LondonLong Island UniversityWestern Kentucky UniversityUniversity of OttawaPennsylvania State UniversityUniversity of Notre DameStony Brook UniversityUniversity of MinnesotaNederlandse Organisatie voor Wetenschappelijk OnderzoekVrije Universiteit AmsterdamUniversité de RouenUniversity of Pennsylvania
KeywordsTemperamentPsychologyStrange situationDevelopmental psychologyEmotionalityConcordanceInsecure attachmentAttachment theoryPersonalitySocial psychology

Abstract

fetched live from OpenAlex

= 0.19), suggesting that temperament plays a small yet significant role in child-mother/child-father insecure-resistant attachment relationships concordance. Taken together, results from this study prompt a more in-depth examination of the mechanism underlying the small yet significantly higher chance that children with increased negative emotionality have for developing multiple insecure-resistant attachment relationships. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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)0.002
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: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.371
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
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 head0.535
GPT teacher head0.560
Teacher spread0.025 · 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 designMeta-analysis
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

Citations10
Published2024
Admission routes2
Has abstractyes

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