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Minería y glaciares rocosos: impactos ambientales, antecedentes políticos y legales, y perspectivas futuras

2010· article· es· W2061142027 on OpenAlexaff
Alexander Brenning, Guillermo Azócar

Bibliographic record

VenueRevista de geografía Norte Grande · 2010
Typearticle
Languagees
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsHumanitiesRock glacierPolitical scienceGeologyGeomorphologyPhilosophyGlacier

Abstract

fetched live from OpenAlex

El interés científi co y político en los glaciares rocosos andinos ha aumentado fuertemente en los últimos años debido al creciente reconocimiento de su importancia hidrológica y las recientes intervenciones mineras en ellos.Se presenta un resumen de los conocimientos científi cos y el marco político-legal de las intervenciones pasadas y actuales en glaciares rocosos en Chile y, en forma preliminar, en Argentina y Perú.En estos países, 26 faenas mineras han afectado glaciares rocosos o podrían posiblemente intervenirlos en el futuro.Hasta la fecha, el área afectada de glaciares rocosos en Chile es de aproximadamente 3,3 km 2 .Se recomienda ampliar el actual debate sobre intervenciones en glaciares rocosos, basado en la actualidad principalmente en argumentos hidrológicos, para tomar en cuenta peligros ambientales en el largo plazo -como la posible inestabilidad de glaciares rocosos con depósitos mineros-como también la amplia gama de servicios ambientales brindados por los glaciares rocosos.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.130
Threshold uncertainty score0.259

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.009
GPT teacher head0.238
Teacher spread0.230 · 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

Citations38
Published2010
Admission routes1
Has abstractyes

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