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Evaluation of a Respiratory Health Program for Farmers and Their Families

2002· article· en· W1985822218 on OpenAlexaboutno aff
Debbie Mpofu, Lori A. Lockinger, Julie T. Bidwell, Helen H. McDuffie

Bibliographic record

VenueJournal of Occupational and Environmental Medicine · 2002
Typearticle
Languageen
FieldEnvironmental Science
TopicIndoor Air Quality and Microbial Exposure
Canadian institutionsnot available
Fundersnot available
KeywordsSpirometryMedicineEnvironmental healthPhlegmPulmonary function testingPopulationRespiratory systemLung functionAgriculturePhysical therapyAsthmaLungInternal medicineAlternative medicineGeographyPathology

Abstract

fetched live from OpenAlex

Occupational exposures to organic dusts, gases, welding fumes and agricultural chemicals result in farmers' increased risk of respiratory health problems compared to other workers. The Respiratory Health Program for Saskatchewan farmers addresses the difficulties of delivering an occupational health program to a sparsely distributed population on the Prairies. We summarized their pulmonary function and respiratory health by spirometry and questionnaire respectively. The necessity of the program was demonstrated by the frequency of lower than predicted pulmonary function tests and referrals to family physicians (1996 through 1999). Age, years in farming, usual cough, wheezing on most days and nights, bringing up phlegm from the chest, breathlessness, and cigarette smoking were associated significantly with pulmonary function results. We evaluated the Respiratory Health Program (1994 through 2000) with respect to acceptability, accessibility, appropriateness, continuity, effectiveness, efficiency, and risk/safety by using questionnaires and evaluations by farm families.

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)0.007
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.068
GPT teacher head0.323
Teacher spread0.255 · 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 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

Citations10
Published2002
Admission routes1
Has abstractyes

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