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Record W1980373915 · doi:10.1093/occmed/50.7.460

The Three Faces of Occupational Medicine: Printed Paper, Problems in Practice, and Professional Purpose

2000· editorial· en· W1980373915 on OpenAlexaff
Tim Carter

Bibliographic record

VenueOccupational Medicine · 2000
Typeeditorial
Languageen
FieldHealth Professions
TopicOccupational Health and Safety Research
Canadian institutionsTransport Canada
Fundersnot available
KeywordsOccupational medicineMedical educationMedicineService (business)Alternative medicineOccupational therapyProfessional developmentMedical practiceFamily medicineEngineering ethicsOccupational safety and healthEngineeringBusinessPathologyPhysical therapyMarketing

Abstract

fetched live from OpenAlex

The 50-year run of the journal Occupational Medicine and its forbears demonstrates the ways in which UK occupational medical practice has developed and changed since 1950. This has been in response to changes in society, technology and medicine. The journal has played an important part in education and professional development. It has also been the voice for the aspirations and concerns of its readers. Two aspects stand out: the development of occupational medicine as a specialty, and the way in which a medical model for occupational health service provision has been championed. A distinguished line of journal editors has been central to the crystallization of ideas within occupational medicine and their editorials map out professional successes and challenges over the years.

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)0.008
metaresearch head score (Gemma)0.059
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.021
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.059
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.002
Science and technology studies0.0040.008
Scholarly communication0.0210.009
Open science0.0030.002
Research integrity0.0120.018
Insufficient payload (model declined to judge)0.0060.004

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 head0.067
GPT teacher head0.498
Teacher spread0.432 · 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 designNot applicable
Domainnot available
GenreEditorial

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

Citations9
Published2000
Admission routes1
Has abstractyes

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