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Record W2178216824 · doi:10.5539/jsd.v8n9p178

Corporate Social Responsibility and Its Relevance to Accounting

2015· article· en· W2178216824 on OpenAlexvenueno aff
Saeid Homayoun, Zabihollah Rezaee, Zahra Ahmadi

Bibliographic record

VenueJournal of Sustainable Development · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityAccountingBusinessProfitability indexAuditSustainabilityRelevance (law)ReputationSocial responsibilityPublic relationsValue (mathematics)Creating shared valueQuality (philosophy)SociologyPolitical scienceFinanceSocial science

Abstract

fetched live from OpenAlex

Corporate social responsibility (CSR) has been extensively and inconclusively debated in the literature. In this essay, we examine the development of CSR by both reviewing the evolution of the conceptual framework and models of CSR and discussing social responsibility accounting and auditing. We conclude that both business and academic communities worldwide should pay closer attention to CSR and its components of economic, social, and environmental performance. Business organizations worldwide are just starting to recognize the importance of quality as it relates to CSR and the link between profitability and social behavior. Justifications for CSR are fulfilling moral obligations, maintaining a good reputation, ensuring sustainability and licensing to operate, and creating shared value for all corporate stakeholders.

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)0.007
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.018
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.005
Science and technology studies0.0040.035
Scholarly communication0.0100.008
Open science0.0010.003
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.052
GPT teacher head0.275
Teacher spread0.223 · 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 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

Citations9
Published2015
Admission routes1
Has abstractyes

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