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Record W1975377480 · doi:10.1016/s0304-3959(00)00351-1

An activity pacing scale for the chronic pain coping inventory: development in a sample of patients with fibromyalgia syndrome

2001· article· en· W1975377480 on OpenAlexaff
Warren R. Nielson, Mark P. Jensen, Marilyn L. Hill

Bibliographic record

VenuePain · 2001
Typearticle
Languageen
FieldMedicine
TopicFibromyalgia and Chronic Fatigue Syndrome Research
Canadian institutionsWestern UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsFibromyalgiaCoping (psychology)Chronic painPsychologyPhysical therapyPhysical medicine and rehabilitationClinical psychologyMedicine

Abstract

fetched live from OpenAlex

Patients with fibromyalgia syndrome (FS) experience a decreased ability to participate in both vocational and avocational activities. Although many treatment programs advocate activity pacing techniques, 'pacing' is a poorly understood concept for which there are no available measures. The present study describes a brief six-item pacing scale that can be administered as part of the Chronic Pain Coping Inventory (CPCI). Preliminary data indicate that this scale is a valid, reliable index of the pacing construct that is associated with physical impairment in patients with FS and is unrelated to simple task persistence.

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)0.004
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 score0.039
Threshold uncertainty score0.485

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.021
GPT teacher head0.279
Teacher spread0.257 · 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

Citations107
Published2001
Admission routes1
Has abstractyes

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