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Record W2049163097 · doi:10.1080/0963828021000007879

Self-responsibility and coping with pain: disparate attitudes toward psychosocial issues in recovery from work place injury

2002· article· en· W2049163097 on OpenAlexafffund
Mark Antoniazzi, Marek J. Celiński, John Alcock

Bibliographic record

VenueDisability and Rehabilitation · 2002
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsWorkplace Safety & Insurance BoardYork UniversityToronto Rehabilitation Institute
FundersToronto Rehabilitation InstituteWorkplace Safety and Insurance Board
KeywordsPsychosocialRehabilitationCoping (psychology)ChecklistHealth careModalitiesPsychologyClinical psychologyMedicineNursingPhysical therapyPsychiatry

Abstract

fetched live from OpenAlex

PURPOSE: To compare injured worker and health professional ratings of psychosocial variables as they relate to recovery. METHOD: Seventy patients and 70 health care staff at an injured worker rehabilitation centre completed a 17-item checklist. Each subject selected five psychosocial variables believed to be most important to recovery. Group ratings were compared using chi-square with a Bonferroni adjustment. RESULTS: In general, patients and health professionals agreed on the relative importance of 15 of 17 variables. However, the groups did differ significantly on two items--staff rated 'self-responsibility' higher than patients, while patients rated 'coping with pain' higher than staff. CONCLUSIONS: The ratings reflect the occasionally divergent goals and expectations of the rehabilitation staff and patient groups. Consequently, some patients may be moved into inappropriate treatment modalities, resulting in non-compliance. Being aware of patient beliefs and expectations should assist health care professionals in generating improved rehabilitation outcomes by promoting better co-operation through shared perceptions and goals.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.289
Teacher spread0.276 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations12
Published2002
Admission routes2
Has abstractyes

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