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Record W6989154427

After the dust settles: a qualitative study of underground workers exposed to an aluminum dust prophylaxis

2021· dissertation· en· W6989154427 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldMedicine
TopicOccupational exposure and asthma
Canadian institutionsnot available
Fundersnot available
KeywordsNucleofectionTSG101HyporeflexiaGestational periodFusible alloyDemotionDiafiltrationLiquationDysgeusia
DOInot available

Abstract

fetched live from OpenAlex

From 1943 to 1980, some underground gold and uranium workers in Ontario were required to \ninhale aluminum powder, up to approximately 30 minutes daily, for silicosis prevention. \nThis qualitative descriptive study explored the perceived impact of exposed workers to the \naluminum powder. Sixteen respondents from Northeastern Ontario participated in interviews \nwhich were transcribed verbatim and analyzed thematically. \nThemes that were constructed on a personal impact level included: 1) compulsory exposure, 2) \nhesitancy to complain, 3) feelings of betrayal, and 4) concern about health impact and dying. \nThemes on an organizational impact level included: 1) confidence and trust in company, 2) lack \nof knowledge, and 3) need for compensation and formal apology. \nWorkers’ perceived that their long-term health was impacted by exposure on a personal and \norganizational level. The latest information from this study on McIntyre powder will enhance the \nknowledge within the occupational health and safety system.

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)0.006
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.091
Threshold uncertainty score0.180

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0130.010
Scholarly communication0.0040.003
Open science0.0020.004
Research integrity0.0020.003
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 head0.018
GPT teacher head0.278
Teacher spread0.260 · 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 designQualitative
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
Published2021
Admission routes1
Has abstractyes

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