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Record W1977309736 · doi:10.1139/h03-018

Supervision of Occupational Fitness Assessments

2003· review· en· W1977309736 on OpenAlexaffabout
Roy J. Shephard, Jean Bonneau

Bibliographic record

VenueCanadian Journal of Applied Physiology · 2003
Typereview
Languageen
FieldMedicine
TopicCardiovascular Effects of Exercise
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsJurisdictionMedicinePhysical fitnessCertificationOccupational safety and healthPsychologyGerontologyPhysical therapy

Abstract

fetched live from OpenAlex

Controversy continues regarding an appropriate level of supervision for occupational fitness assessments. A bout of vigorous physical activity can augment the immediate risk of a cardiac catastrophe by a factor of 5-100 depending on age, cardiac risk factors, and the physical and emotional circumstances of the participant. However, if a person engages regularly in such activity, the immediate risk is more than offset by an improvement in prognosis during intervening periods of rest. During demanding physical work, there is a small but measurable risk of sudden death (3 to 7 episodes per 100,000 personnel per year). The risk associated with a brief (< 15 min) but vigorous occupational fitness assessment is so low as to preclude attempts to reduce it still further by direct medical supervision. If testing encourages an increase in personal fitness, any immediate increase in risk is enormously offset by a reduction in the number of cardiac deaths while resting. Furthermore, evidence is unconvincing that the average medical practitioner can prevent or treat any emergencies that may arise better than a well-trained professional fitness and lifestyle consultant (PFLC), a person certified by the Canadian Society for Exercise Physiology who has had frequent opportunities to practice the necessary skills. Since occupational fitness assessments are not diagnostic procedures, they appear to fall outside the jurisdiction of medical licensing bodies. In the absence of a history of cardiovascular disease, supervision of such assessments is safely and appropriately undertaken by the PFLC. Unnecessary insistence on medical supervision could preclude annual evaluation of occupational fitness and a resulting enhancement of physical condition, thus increasing rather than diminishing the risk to the worker.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.984
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.047
GPT teacher head0.360
Teacher spread0.312 · 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.

Study designNot applicable
Domainnot available
GenreReview

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

Citations8
Published2003
Admission routes2
Has abstractyes

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