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Record W1882594138 · doi:10.1093/jpepsy/jsv037

Topical Review: Resilience Resources and Mechanisms in Pediatric Chronic Pain

2015· review· en· W1882594138 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Pediatric Psychology · 2015
Typereview
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentCanadian Institutes of Health ResearchU.S. Public Health ServiceNational Institutes of Health
KeywordsChronic painExtant taxonResilience (materials science)Psychological resiliencePsychologyAdaptation (eye)MedicinePsychiatryPsychotherapistNeuroscience

Abstract

fetched live from OpenAlex

OBJECTIVE: To apply resilience theory and the extant literature to propose a resilience-risk model for pediatric chronic pain and provide an agenda for research and clinical practice in pediatric chronic pain resilience. METHOD: Literature review to develop a resilience-risk model for pediatric chronic pain. RESULTS: The chronic pain literature has identified unique individual and social/environmental resilience resources and pain-related resilience mechanisms that promote pain adaptation. These data support our ecological resilience-risk model for pediatric chronic pain, and the model highlights novel directions for clinical and research efforts for youth with chronic pain. CONCLUSIONS: The examination of pediatric chronic pain from a strengths-based approach might lead to novel clinical avenues to empower youth to positively adapt and live beyond their pain.

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.

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)0.010
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.002
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 head0.046
GPT teacher head0.397
Teacher spread0.351 · 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