MétaCan
Menu
Back to cohort
Record W2913910378 · doi:10.22561/cvr.v29i2.4086

AVALIAÇÃO HIERÁRQUICA DA INFLUÊNCIA DO PAÍS, SETOR E EMPRESA NA EVIDENCIAÇÃO DA RESPONSABILIDADE SOCIAL CORPORATIVA

2018· article· pt· W2913910378 on OpenAlex

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

VenueContabilidade Vista & Revista · 2018
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesPolitical scienceEconomicsBusinessSociologyPhilosophy

Abstract

fetched live from OpenAlex

O estudo realiza uma avaliação hierárquica da influência do sistema nacional de negócios (SNN), setor industrial e fatores associados ao desempenho financeiro da empresa na evidenciação de responsabilidade social corporativa (RSC). Adota-se os pressupostos da teoria institucional para investigar a influência do sistema nacional de negócios na evidenciação de práticas sociais e ambientais em empresas provenientes dos setores de materiais básicos, de operações de petróleo e gás e de utilidade pública. O estudo analisa 264 observações provenientes de empresas que possuem ações negociadas nas bolsas de valores do Brasil (BM&FBovespa) e do Canadá (Toronto Stock Exchange). Foi realizado um estudo longitudinal, adotando-se estatística descritiva e estimação econométrica com modelo hierárquico. Os resultados indicam que o percentual da variância da evidenciação de RSC é explicada pelo nível do SNN, seguido dos fatores associados ao desempenho financeiro das empresas. A pesquisa reforça a necessidade de os gestores avaliarem as características que moldam o sistema nacional de negócios ao estabelecerem suas estratégias relacionadas à evidenciação de responsabilidade social corporativa.

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)0.009
metaresearch head score (Gemma)0.014
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.014
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.005
Science and technology studies0.0040.004
Scholarly communication0.0090.002
Open science0.0050.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.005

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 head0.128
GPT teacher head0.387
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