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Record W3122978381

Corporate social responsibility and "contemporary community expectations"

2017· article· en· W3122978381 on OpenAlexaboutno aff
Du Plessis, Jean Jacques

Bibliographic record

VenueCompany and securities law journal · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityLegislatureCorporate lawShareholderStakeholderHarmEuropean unionShareholder primacyPolitical sciencePublic relationsCorporate governanceLaw and economicsLawBusinessSociologyEconomicsManagement
DOInot available

Abstract

fetched live from OpenAlex

This article examines recent developments in company law surrounding corporate social responsibility (CSR). The focus is on the recognition of stakeholder interests and the role of contemporary community expectations in director decision making. The author provides judicial evidence regarding the recognition of the legitimate interests of shareholders and other stakeholders in company decision making, but acknowledges that the case law does not establish these interests as “rights”. There is discussion of the role of a company as a “good corporate citizen” and contemporary community expectations concerning responsible corporate behaviour and sustainable growth that does not harm the environment or society. The author subsequently argues that contemporary community expectations form a policy basis for judges to interpret the law to reflect CSR. The unique legislative approaches to CSR adopted in the United Kingdom, Canada, India and the European Union are analysed, with consideration of the legislative elements that serve to promote CSR, and those that merely allow corporations to carry on with profit maximisation in a “business as usual” manner. The article concludes that CSR obligations should be reviewed in Australia, with a view to potential law reform in this area considering recent international developments.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.001
Scholarly communication0.0030.002
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 head0.106
GPT teacher head0.270
Teacher spread0.164 · 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 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

Citations5
Published2017
Admission routes1
Has abstractyes

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