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Record W2102619043 · doi:10.1093/jpepsy/jsi047

Attributions and Coping in Children’s Pain Experiences

2005· article· en· W2102619043 on OpenAlexafffund
David A. Langer, Edith Chen, Janet D. Luhmann

Bibliographic record

VenueJournal of Pediatric Psychology · 2005
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsUniversity of British Columbia
FundersMichael Smith Health Research BCWilliam T. Grant Foundation
KeywordsCoping (psychology)AttributionPsychologyClinical psychologyDevelopmental psychologyMedicinePsychotherapistSocial psychology

Abstract

fetched live from OpenAlex

OBJECTIVE: To examine how children's injury attributions and coping strategies relate to procedure-related distress during unplanned medical procedures (laceration repair). METHODS: Children (N = 50) with minor lacerations were assessed from emergency department admittance until discharge. Children's attributions of causes regarding their injury were assessed, and the Procedural Behavior Checklist was administered to each child (to assess coping strategies and procedure-related distress). RESULTS: Internally focused attributions of blame correlated with higher distress. Overall, children who reported primary-control coping, as opposed to secondary-control coping and relinquished-control coping, exhibited more pain during the procedure. Children who reported secondary-control coping, as opposed to relinquished-control coping, reported less pain after the procedure. CONCLUSIONS: Injury attributions and coping style are significant factors in children's pain experiences. These results suggest that self-blame may heighten subsequent pain experiences. In addition, similar coping strategies appear to be adaptive for unplanned medical procedures as have been found for planned medical procedures.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score0.373

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.020
GPT teacher head0.340
Teacher spread0.320 · 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

Citations12
Published2005
Admission routes2
Has abstractyes

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