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Record W2739823936 · doi:10.5430/afr.v6n3p64

Issues in Sustainability Accounting Reporting

2017· article· en· W2739823936 on OpenAlexvenueno aff
Elena Becerra Muñoz, Lijuan Zhao, David C. Yang

Bibliographic record

VenueAccounting and Finance Research · 2017
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsSustainability reportingAccountingSustainabilityComparabilityBusinessAccounting information systemStandardizationEnforcementIntegrated reportingPolitical science

Abstract

fetched live from OpenAlex

In the U.S., sustainability accounting reporting is developing and becoming more prevalent in public companies. This paper reviews accounting literature and Dow 30 companies’ websites, presents a comprehensive view of the landscape of sustainability accounting reporting, and identifies seven issues of the reporting frameworks of sustainability accounting, i.e., (1) definitions, (2) measurements and disclosures, (3) motivations, (4) compliance, (5) enforcement, (6) standardization, and (7) the ultimate effect on reliability and comparability.An archival analysis approach is used to summarize and compare Dow 30 sustainability accounting reporting frameworks and information disclosed in 2015 annual reports and websites. The most popular framework is the Global Reporting Initiative (GRI) G4 Sustainability Reporting Guidelines. Some companies developed sustainability accounting reporting frameworks and others did not disclose any information regarding sustainability accounting reporting. Although the GRI framework is the most used, external assurance is present in only a few companies.

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)0.024
metaresearch head score (Gemma)0.086
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.101
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0240.086
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0030.004
Open science0.0010.002
Research integrity0.0000.001
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 head0.094
GPT teacher head0.411
Teacher spread0.318 · 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 designObservational
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

Citations15
Published2017
Admission routes1
Has abstractyes

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