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Record W2020858397 · doi:10.1179/oeh.2003.9.3.249

Asbestos-related Morbidity in India

2003· article· en· W2020858397 on OpenAlexaboutno aff
Tushar Kant Joshi, Rohit Gupta

Bibliographic record

VenueInternational Journal of Occupational and Environmental Health · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicEnergy and Environment Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsAsbestosLegislationGovernment (linguistics)ChrysotileBusinessEnvironmental healthPolitical scienceMedicineLaw

Abstract

fetched live from OpenAlex

In India, locally mined asbestos is not enough for its current needs, hence a great deal of asbestos is imported from Canada. Asbestos products manufacturers have prevailed upon the government to reduce tariffs on imported material. The efforts of the health and safety professionals who joined with nongovernmental organizations to form the Ban Asbestos Network of India (BANI) are being consistently sabotaged by the industry, using its influence and false propaganda that chrysotile asbestos can be safely used in a controlled manner. Weak legislation and lack of data are being exploited by the industry to convince policymakers that asbestos use in India has caused no major health problems. Despite this, the ban-asbestos movement has gained momentum and was able to persuade government to consider banning asbestos use. With the growing strength of the movement it is expected that asbestos manufacturers may find it increasingly difficult to manipulate the government in the future.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.289
Teacher spread0.271 · 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

Citations21
Published2003
Admission routes1
Has abstractyes

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