MétaCan
Menu
Back to cohort
Record W1588429629

Impacto ambiental del polvillo del carbón en la salud en Colombia

2014· article· es· W1588429629 on OpenAlexaboutno aff
Tammy Irina Pulido Iriarte

Bibliographic record

VenueCES Salud Pública · 2014
Typearticle
Languagees
FieldEnvironmental Science
TopicPublic Health and Environmental Issues
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceHumanitiesGeographyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Colombia es un pais muy biodiverso aunque aun no ha logrado aplicar medidas seguras para salvaguardar esta riqueza natural frente a la explotacion minera, minimizando el impacto ambiental y social sobre la salud. La industria extractiva se precia de cumplir con los mas altos estandares ambientales, sin embargo el gobierno tiene claro que no dispone de  una infraestructura de control para hacerlos cumplir. Esto permite establecer que hay una violacion en materia ecologica y seguridad industrial que afecta a los trabajadores mineros y las comunidades adyacentes, sin que haya una politica eficiente al respecto en solucionar esta vulneracion a los derechos humanos. Se trata de presentar aqui una breve sintesis del impacto ambiental sobre la salud debido a la explotacion del carbon y la importancia economica derivada de la exportacion de este mineral. Ademas, se sugiere aplicar el modelo socio-ecologico de la salud de la Carta de OTTAWA (1) en procura de un ecosistema estable y recursos sostenibles: salud del ecosistema.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.629
Threshold uncertainty score0.746

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.007
GPT teacher head0.257
Teacher spread0.250 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueCES Salud PúblicaSame topicPublic Health and Environmental IssuesFrench-language works237,207