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Record W2026623549 · doi:10.1375/jdmr.2.1.18

Experiences of Medical Advisors in the Workers' Compensation System in British Columbia

2007· article· en· W2026623549 on OpenAlexaffabout
Lydia Arnold-Smith, Henry G. Harder

Bibliographic record

VenueInternational Journal of Disability Management · 2007
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsUniversity of Northern British ColumbiaWorkers Compensation Board of British Columbia
Fundersnot available
KeywordsCompensation (psychology)Theme (computing)Work (physics)Medical educationService (business)PsychologyProcess (computing)NursingPublic relationsMedicineBusinessPolitical scienceSocial psychologyEngineeringMarketing

Abstract

fetched live from OpenAlex

Abstract Attending physicians and medical advisors, physicians contracting their services to the Workers' Compensation Board, have key roles in assisting injured workers to return to work. A literature review of the role of the physician in the compensable return to work process reveals a lack of information regarding the experiences of medical advisors. This descriptive phenomenological study was undertaken to explore the lived experiences of four medical advisors in a northern rural service delivery location. The purpose of the research was to gain an understanding of the medical advisors' experiences in the compensable return to work process and in the compensation system. Analysis of the interview data revealed a central theme of commitment to quality medical care for injured workers, along with three major themes and several minor themes subsumed within the major concepts: providing medical opinions — requiring factual information, clarifying the diagnosis, no previous relationship with worker, categories of injuries; working with attending physicians and specialists — building relationships, evidence based treatment plans, role of the attending physician, role of the medical advisor; and, working within the workers' compensation environment — structure and policies, expedited services, and case management/team environment. This research report presents the central theme as the foundation through which the major themes are interconnected. This study does not generalise to all medical advisors, but relays stories that contain the essence of a lived experience.

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)0.012
metaresearch head score (Gemma)0.001
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 score0.175
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.456
Teacher spread0.410 · 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

Citations0
Published2007
Admission routes2
Has abstractyes

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