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Developmental Issues in Understanding, Assessing, and Managing Pediatric Pain

2008· book-chapter· en· W99689952 on OpenAlexaff
Kenneth D. Craig, Christine T. Korol

Bibliographic record

VenueHumana Press eBooks · 2008
Typebook-chapter
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsAlberta Children's HospitalCanadian Institutes of Health ResearchUniversity of British Columbia
Fundersnot available
KeywordsDevelopmentally Appropriate PracticeCognitionPsychologyRelevance (law)Pain managementPerceptionExpression (computer science)Developmental psychologyNociceptionMedicineNeurosciencePhysical therapyComputer science

Abstract

fetched live from OpenAlex

Infants, children, and adolescents presenting with pain differ dramatically in physical, cognitive, emotional, behavioral, and social characteristics. This chapter presents an overview of basic concepts that should be understood in the delivery of developmentally appropriate care and addresses their relevance to pain assessment and management. The developmental issues concern variations in maturation and growth in perception and central processing of nociceptive information, and its expression in the actions of the child, as well as consideration of how pain affects different spheres of activity at different ages.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.321
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.111
GPT teacher head0.306
Teacher spread0.194 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations17
Published2008
Admission routes1
Has abstractyes

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