Bibliographic record
Abstract
Abstract The term asbestos is a generic designation referring usually to six types of naturally occurring mineral fibers that are or have been commercially exploited. These fibers belong to two mineral groups: serpentines and amphiboles. The serpentine group is represented by a single asbestiform variety‐chrysotile. There also are five commercial asbestiform varieties of amphiboles‐anthophyllite asbestos, cummingtonite‐grunerite asbestos (amosite), riebeckite asbestos (crocidolite), tremolite asbestos, and actinolite asbestos. Amosite and crocidolite are no longer mined. Nearly all of the asbestos mined after the mid‐1990s was chrysotile. Only very small amounts of actinolite, anthophyllite, and tremolite asbestos may be mined in a few countries. Asbestos was mined in Argentina, Brazil, Canada, China, India, Kazakhstan, and Russia in 2010; world production was estimated to be 1.97 × 10 6 tons. Properties that made asbestos valuable for industrial applications were their thermal, electrical, and sound insulation properties; inflammability; matrix reinforcement (cement, plastic, and resins); adsorption capacity (filtration, liquid sterilization); wear and friction properties (friction materials such as brakes and clutches); and chemical inertia (except in acids). These properties led to the use of asbestos in about 3,000 products by the 1960s. Since about 1995, asbestos‐cement products, including pipe and sheets, accounted for more than 95% of global asbestos consumption as other uses of asbestos have declined. Global consumption of asbestos was estimated to have been about 1.98 × 10 6 tons in 2009. The leading consuming countries in 2009 were Brazil, China, India, Russia, and Thailand, each with more than 100,000 tons of consumption.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".