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Record W2027457424 · doi:10.1097/dbp.0000000000000119

Distress Regulation in Infancy

2015· article· en· W2027457424 on OpenAlexafffund
Rachel Horton, Rebecca Pillai Riddell, David B. Flora, Greg Moran, David R. Pederson

Bibliographic record

VenueJournal of Developmental & Behavioral Pediatrics · 2015
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsWestern UniversityHospital for Sick ChildrenUniversity of TorontoYork University
FundersCanadian Institutes of Health Research
KeywordsDistressPsychologyTemperamentDevelopmental psychologyClinical psychologyPersonalitySocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: The relationship between attachment, temperamental fear, and pain-related distress was examined in a sample of 130 caregiver-infant dyads to explore the differential susceptibility hypothesis. METHOD: Infant distress was measured during routine immunization at 12 months, and attachment and temperamental fear were measured at 12 to 18 months (meanage = 13.74, SD = 1.35) using the Strange Situation Procedure and parent-rated Infant Behavior Questionnaire-Revised, respectively. RESULTS: Immediately before immunization, avoidant infants exhibited significantly less distress than secure infants. Temperamental fear moderated the relationship between attachment and regulation; under conditions of high temperamental fear, avoidant infants regulated distress more slowly than secure infants, whereas under conditions of low temperamental fear, secure infants regulated distress more slowly than avoidant and disorganized infants. CONCLUSION: The findings suggest that attachment interacts with extremes in temperamental fear to produce differences in the regulation of distress. The results partially support the differential susceptibility hypothesis.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.029
Threshold uncertainty score0.597

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.333
Teacher spread0.286 · 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.

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

Citations22
Published2015
Admission routes2
Has abstractyes

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