MétaCan
Menu
Back to cohort
Record W3119806062 · doi:10.1201/b18107-17

The Mineralogy, Geology and Main Occurrences of Chrysotile

2015· book-chapter· en· W3119806062 on OpenAlexaboutno aff
Saverio Fiore, F. Javier Huertas

Bibliographic record

VenueApple Academic Press eBooks · 2015
Typebook-chapter
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsnot available
Fundersnot available
KeywordsChrysotileGeologyGeochemistryMining engineeringEconomic geologyMineralogyArchaeologyGeographyPaleontologyMaterials scienceMetallurgyTectonicsMetamorphic petrologyAsbestos

Abstract

fetched live from OpenAlex

Chrysotile has been described as a “wonder” mineral because of its long, ultrathin, durable, flexible, and sometimes woven fibers. This peculiar crystal morphology, together with its chemical composition and crystal structure, determine unique thermal, electrical, and mechanical properties that have enabled chrysotile to be used in a number of industrial products or applications, from plastics to cement, from friction materials to vinyl tiles, and so on (e.g., Ross, 1981; Virta and Mann, 1994; Ross and Virta, 2001). Chrysotile fibers are classified, for commercial use, into fiber length groups, each one with its own subgroups (grade), with the longest fibers assigned to Group 0 and the shortest to Group 7. Each group has a specific use, the longer has been used in textiles, the shorter as a filler in various materials (cement, plastic, vinyl, etc.) The use of chrysotile for manufacturing industrial products began in the early decades of the twentieth century and its story is reflected in the worldwide consumption of asbestos that has increased from about 175 kilotonne (in the 1920) up to 4.8 megatonne (in the 1980) (Virta, 2006). Production of chrysotile asbestos in 2012 was around 2 kilotonne a year with the main producers being Russia (50%), China (22%), Brazil (15%), Kazakhstan (12%), (U.S. Geological Survey, 2013). USA and Canada were once among the main producers but now the mineral extraction is banned there, as well as in many European countries, because all forms of asbestos have been judged to be carcinogenic by the World Health Organization (WHO, 1988) and International Agency for Research on Cancer (IARC, 1977, 1987). However, it is widely recognized that chrysotile is less dangerous than amphiboles and that its low inhalation does not represent a risk for health although a prolonged exposure can produce health diseases (e.g., Sporn and Roggli, 2004; Bernstein et al., 2013 and references therein). Experimental evidence shows that chrysotile can be degraded by acid fluids such as those present in the lung (e.g., Rozalen et al., 2014). This implies that the genotoxic and carcinogenic potentials of this serpentine mineral are surely enhanced by the presence of amphiboles, and more frequently tremolite asbestos. Chrysotile free from other potentially dangerous minerals, or its analogous synthetic material, may be looked at with interest for new applications as nanotubes. Chrysotile, as well as the other two minerals forming the serpentine group-antigorite and lizardite-, is the principal mineralogical components of serpentinites, fine grained ultramafic rocks that are exposed in almost all continents, including Antarctica. These hydrous magnesium silicate phases generally form through hydrothermal alteration of ultrabasic rock-forming minerals, such as olivine and ortho/ clinopyroxenes. The reaction that leads to the formation of chrysotile, antigorite, and lizardite may be conventionally described as follows:

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.007
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.065
GPT teacher head0.278
Teacher spread0.212 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations1
Published2015
Admission routes1
Has abstractyes

Explore more

Same venueApple Academic Press eBooksSame topicGeology and Paleoclimatology ResearchFrench-language works237,207