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Record W6990626935

Double influence and dual projection between global and local: the "Mariana Case" and the (an) social responsibility of mining companies

2018· article· en· W6990626935 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsTragedy (event)Human rightsDialecticDual (grammatical number)Social responsibilityGovernment (linguistics)Relation (database)Face (sociological concept)Corporate social responsibility
DOInot available

Abstract

fetched live from OpenAlex

The article aims to analyze the double influence of the global on local in the face of the closed and ambiguous relations between the economy and the law, as well as to demonstrate the double projection of the place in the global, either from the perspective of the responsibility of the transnational companies involved in the case Mariana, and for the mapping of human rights violations of Vale SA in the world. The method of approach used is the dialectic and the procedure is the bibliographic and documentary, with emphasis on reports and documents from research groups and civil society organizations. Among the conclusions, it was verified that the political-economic interests contributed to the State's bad performance before and after the tragedy - from the elaboration of the New Mining Code to the agreement extrajudicially signed between the companies and the government for the indemnification and support of the victims. However, the Brazilian tragedy only reflects the height of Vale's social irresponsibility in relation to other focos of resistance in the world, notably Chile, Mozambique and Canada. Finally, private mechanisms for the protection of human rights - such as codes of conduct are fragile -, the national mechanisms insufficient, and the need for transnational corporations to be subject of international public law, urgent.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.216
Threshold uncertainty score0.969

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 studies0.0010.003
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.021
GPT teacher head0.243
Teacher spread0.222 · 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.

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

Citations0
Published2018
Admission routes1
Has abstractyes

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