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Record W1979192724 · doi:10.1177/0007650313475997

Sustainable Development and Industry Self-Regulation

2013· article· en· W1979192724 on OpenAlexaff
Hevina S. Dashwood

Bibliographic record

VenueBusiness & Society · 2013
Typearticle
Languageen
FieldEngineering
TopicMining and Resource Management
Canadian institutionsBrock University
Fundersnot available
KeywordsFraming (construction)Corporate social responsibilitySustainable developmentBusinessInstitutional theoryPublic relationsNorm (philosophy)Political scienceEconomicsManagement

Abstract

fetched live from OpenAlex

This article explores the influences informing the voluntary initiatives undertaken by major mining companies to meet their environmental and social responsibilities. The framing by mining companies of their corporate social responsibility (CSR) policies in terms of sustainable development, as reflected in their stand-alone CSR reports, is a noteworthy feature of the mining industry. This article analyzes the process by which convergence occurred around the norm of sustainable development and examines the circumstances that led to the adoption of unilateral and collaborative corporate voluntary initiatives to promote sustainable development in the mining sector. The author argues that the interaction of institutional dynamics with managerial preferences are key variables which can best be explained by institutional approaches in organization theory and international relations theory that draw attention to the global context and the dissemination of global norms.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.012
Scholarly communication0.0040.002
Open science0.0000.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.171
Teacher spread0.165 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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

Citations99
Published2013
Admission routes1
Has abstractyes

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