MétaCan
Menu
Back to cohort
Record W2558635468 · doi:10.1111/lamp.12098

The Open‐Ended Tale of Open‐Pit Mining in the Province of San Juan, Argentina

2016· article· en· W2558635468 on OpenAlex
Adriana T. Gonzalez

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLatin American Policy · 2016
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsnot available
Fundersnot available
KeywordsScale (ratio)Mining industryBusinessSocioeconomic statusPolitical scienceGeographyEngineeringMining engineeringCartographySociology

Abstract

fetched live from OpenAlex

Foreign great‐scale mining is a recent phenomenon in Argentina, including in the province of San Juan. Since the approval of the new mining code and the implementation of laws passed in 1993, several foreign companies dedicated to exploration—some of them focused on the extraction of minerals—have set up in the province, during the 1990s and 2000s. Most of the mining projects are currently under construction or in exploitation stages and are owned by medium and large Canadian companies. Mining activity in the province has led to interesting new discussions about the costs and benefits of great‐scale mining, focused mainly on the environmental aspects. There has not been a more‐detailed, systematic discussion on the socioeconomic benefits, so the aim of this article is to research and asses these effects.

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.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.834
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

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

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 head0.016
GPT teacher head0.274
Teacher spread0.258 · 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