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Record W2162761518 · doi:10.1093/jpepsy/27.2.209

Brief Report: Behaviors Identified by Caregivers to Detect Pain in Noncommunicating Children

2002· article· en· W2162761518 on OpenAlexfundno aff
Paul Stallard

Bibliographic record

VenueJournal of Pediatric Psychology · 2002
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
FundersCanadian Institutes of Health Research
KeywordsDistressPsychologyPain catastrophizingSet (abstract data type)Observational studyChronic painCognitionClinical psychologyMedicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: To develop an observational measure, based on caregiver reports, to assess chronic pain in children with significant cognitive impairment who are unable to communicate verbally. The issue of whether these children share a core set of cues to express pain was investigated. METHODS: Specific pain cues were elicited during detailed interviews with 29 female caregivers of noncommunicating children. Pain cues were categorized by a two-stage Delphi process and cues indicating severe and definite pain identified. RESULTS: Six cues from five different categories were used by 90% of caregivers to identify definite or severe pain in their child. CONCLUSIONS: Although the specific expression of pain may be very individual, there is a shared set of core pain cues. The relationship between these cues and evidence of pain and distress is discussed.

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)0.003
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.389
Threshold uncertainty score0.835

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.021
GPT teacher head0.328
Teacher spread0.307 · 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

Citations56
Published2002
Admission routes1
Has abstractyes

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