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Record W2095323170 · doi:10.1080/00050060108259663

The role of self-efficacy and fear-avoidance beliefs in the prediction of disability

2001· article· en· W2095323170 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
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

VenueAustralian Psychologist · 2001
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologySelf-efficacyLow back painScale (ratio)Avoidance behaviourPain catastrophizingClinical psychologyVisual analogue scalePhysical therapyMedicinePsychiatryChronic painDevelopmental psychologyAlternative medicineSocial psychology

Abstract

fetched live from OpenAlex

Both self-efficacy and fear-avoidance beliefs have been shown to be predictors of the level of disability in low back pain suffers. What is not clear from the literature, however, is whether the two constructs are differentially predictive of disability. The aim of this study was to investigate the relationship between pain self-efficacy and fear-avoidance beliefs and to determine whether they can explain unique variance in disability scores. One hundred and twenty-one people over the age of 18, suffering from chronic low back pain and receiving workers' compensation, completed the Pain Self-Efficacy Scale (PSEQ), the Fear Avoidance Beliefs questionnaire (FABQ), the Quebec Back Pain Disability Scale and a visual analogue scale for pain. The results show that, after controlling for pain, self-efficacy explained 24% of the variance in disability scores, and fear avoidance only a further 3.1%.

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)0.001
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 score0.024
Threshold uncertainty score0.273

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.325
Teacher spread0.303 · 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