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Record W7133104275

Work-related asthma symptoms among professional cleaners

2006· dissertation· W7133104275 on OpenAlexaboutno aff
Maya Obadia

Bibliographic record

VenueTSpace · 2006
Typedissertation
Language
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsnot available
Fundersnot available
KeywordsAsthmaOccupational asthmaTask (project management)Occupational exposureAsthma attackCommon cold
DOInot available

Abstract

fetched live from OpenAlex

Cleaners have been reported to have increased risk for work-related asthma symptoms (WRAS). This study examines whether cleaners have more WRAS compared to other building workers (OBW) and if this can be attributed to frequency of task performances. School board and racetrack workers in Ontario, Canada completed a questionnaire to establish the prevalence of physician-diagnosed asthma (PDA), new-onset asthma (NOA), respiratory symptoms, and WRAS. Among both genders cleaners and OBW had a similar prevalence of PDA, NOA, respiratory symptoms, and WRAS. Female cleaners reported significantly more WRAS. Male cleaners who waxed, and wax stripped floors, spot cleaned carpets, and cleaned tile and grout with a high frequency, reported more WRAS. Time spent performing these tasks was associated with WRAS when they took 4 or more hours. MSDSs for the cleaning chemicals indicate that agents associated with asthma were present suggesting a relationship between task performance and WRAS among male cleaners.

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), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.383
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.002

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 head0.007
GPT teacher head0.313
Teacher spread0.305 · 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; both teacher heads agree on what is shown here.

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
Published2006
Admission routes1
Has abstractyes

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