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Record W2269918088 · doi:10.1590/0104-530x1183-14

Visão comparativa das estratégias climáticas adotadas por multinacionais do setor de alumínio no Canadá e no Brasil

2015· article· pt· W2269918088 on OpenAlexaff
Larissa Teixeira da Cunha, Mônica Cavalcanti Sá de Abreu, Luciano Barin‐Cruz

Bibliographic record

VenueGestão & Produção · 2015
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsHEC Montréal
Fundersnot available
KeywordsPolitical scienceAlumChemistry

Abstract

fetched live from OpenAlex

ResumoO trabalho avalia as estratégias climáticas adotadas por multinacionais do setor de alumínio. A pesquisa adota uma abordagem qualitativa e toma por base entrevistas com gerentes de duas Multinacionais, uma delas instalada no Brasil e a outra no Canadá. As evidências empíricas demonstram que a multinacional do setor de alumínio que opera no Canadá enfatiza a redução de custos e a melhoria da eficiência operacional com projetos para reduzir emissões de gases do efeito estufa. A multinacional que opera no Brasil destaca, prioritariamente, o relacionamento com os stakeholders e a preocupação com a imagem corporativa para a adoção de uma estratégia de adaptação ou compensação das emissões de gases do efeito estufa. Em nenhum dos dois casos estudados, as pressões coercitivas, advindas de exigências regulatórias, figuram como fatores determinantes para a adoção de estratégias climáticas. O estudo conclui que, no caso da indústria de alumínio, características organizacionais são mais relevantes que as pressões institucionais na definição de estratégias climáticas.

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)0.005
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.014
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.010

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 head0.061
GPT teacher head0.320
Teacher spread0.259 · 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 designNot applicable
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
Published2015
Admission routes1
Has abstractyes

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