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Record W2291408869 · doi:10.1155/2008/235329

Attachment Dimensions and Young Children’s Response to Pain

2008· article· en· W2291408869 on OpenAlexafffund
Trudi M. Walsh, Patrick J. McGrath, Douglas K. Symons

Bibliographic record

VenuePain Research and Management · 2008
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsAcadia UniversityDalhousie University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsAmbivalenceAngerPsychologyDistressDevelopmental psychologyAttachment theoryClinical psychologyPain catastrophizingPsychiatrySocial psychologyChronic pain

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVE: The present study examined the relationship between attachment dimensions and child pain behaviour following both an everyday pain incident (eg, bumps and scrapes) and acute pain incident (eg, immunization) in 66 five-year-old children. METHODS: Secure, avoidant, ambivalent and controlling attachment dimensions were assessed using aggregates of laboratory-based reunion behaviour, performance on representational measures of attachment and the measure of emotion regulation. Child pain behaviour, during immunization and everyday pain incidents, was rated in terms of reactivity, anger and calming time. RESULTS: The ambivalence and controlling attachment dimensions were differentially related to child pain behaviour. Specifically, children with either more ambivalent or controlling attachment had a relatively greater reaction to both the immunization procedure and everyday pain incident. Children with more controlling attachment also took more time to calm down following the immunization and displayed greater anger. Security and avoidance, however, were not systematically related to child pain behaviour. CONCLUSIONS: Results are discussed in terms of Bowlby's theory of attachment relationships and pain as an important distress signal to children.

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)0.016
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.488
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.001
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 science0.0000.001
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 head0.044
GPT teacher head0.358
Teacher spread0.314 · 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

Citations37
Published2008
Admission routes2
Has abstractyes

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