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Record W6926376717 · doi:10.21696/rcsl.v0n5.550

La Naturaleza vale Oro. Propuesta analítica para el estudio de la movilización social en torno a la minería canadiense en San Luis Potosí

2014· article· en· W6926376717 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicDiphtheria, Corynebacterium, and Tetanus
Canadian institutionsnot available
Fundersnot available
KeywordsOpposition (politics)RationalityState (computer science)Social analysisSocial movement

Abstract

fetched live from OpenAlex

From some of general foundations of the theory of the society of risk, by Ulrich Beck in the eighties, this article sets forth a proposal to analyze the process of social mobilization resulted from the collective construction of a rejection of the methods of insertion, exploitation and transformation of the landscape by the Canadian mining near of the city of San Luis Potosí. With an emphatic glance of the conflict, from the discursive strategies of three key actors in the case: the State, the Canadian mining company and local society, in different forms such as boards of collectives and defence fronts, are the phases in which breaks down the process of conflict, then identifies which of these the discourse of environmental risks is on the base or the focus of the opposition and represented in the figure of the Broad Opposition Front (fao) to the Minera San Xavier. Towards the end, from the case study, we propose that local societies such as the of the Valley of San Luis Potosí, are so recent rejection of the methods currently used by Canadian mining companies, such as the emergence of the social perception of the institutions of the State at various levels, are producing and legitimizing of hazards and risks to the extent that are based on an essentially economic rationality

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.449
Threshold uncertainty score1.000

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 studies0.0000.001
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 head0.003
GPT teacher head0.232
Teacher spread0.229 · 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 teacher head, not a consensus.

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

Citations0
Published2014
Admission routes1
Has abstractyes

Explore more

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