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Record W2070193381 · doi:10.1179/107735210800546281

Rubberwood Dust and Lung Function among Thai Furniture Factory Workers

2010· article· en· W2070193381 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Journal of Occupational and Environmental Health · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicAir Quality and Health Impacts
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsVital capacityLung functionSpirometryMedicineHevea brasiliensisPulmonary function testingPneumoconiosisFurniture industryAnimal scienceToxicologyLungInternal medicineChemistryBiologyBusiness

Abstract

fetched live from OpenAlex

The objective of this study was to assess factors affecting lung function among 685 workers in the rubberwood (Hevea brasiliensis) furniture industry in the Chonburi and Rayung provinces of eastern Thailand. Study data were gathered using questionnaires, by sampling wood dust, and by spirometry. The mean wood dust exposure level in the factories was 4.08 mg/m3 (SD = 1.42, range: 1.15-11.17 mg/m3). The mean overall percent of predicted forced vital capacity (FVC), forced expiratory volume in one second (FEV1), and FEV1/FVC values were 84 % (SD = 13.41), 86 % (SD = 14.40), and 99% (SD = 10.42), respectively. Significant negative correlations were found between mean dust exposure levels and FVC (p = 0.0008), and FEV1/FVC% (p < 0.001), but not FEV1 (p = 0.074). An association between decline in lung function and wood dust levels among wood workers suggests that rubberwood dust exposure negatively affects lung function.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.021
GPT teacher head0.309
Teacher spread0.288 · 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