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The Evolution in CSR Reporting: A Longitudinal Study of Canadian Firms

2013· book-chapter· en· W2496742141 on OpenAlexaboutno aff
Lois S. Mahoney, Linda Thorne

Bibliographic record

VenueResearch on professional responsibility and ethics in accounting · 2013
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Social Responsibility Reporting
Canadian institutionsnot available
Fundersnot available
KeywordsCorporate social responsibilityScrutinyAccountingStock exchangeBusinessStock (firearms)Sample (material)Annual reportPolitical scienceFinancePublic relationsGeographyLaw

Abstract

fetched live from OpenAlex

Abstract Our paper explores the evolution in the reporting of Corporate Social Responsibility (CSR) for 115 Canadian firms (51 cross-listed on U.S. stock exchanges) throughout the seven year period of 1999–2006, which was the period before and after SOX and Bill 198 were enacted, resulting in a period of increasing pressure for CSR and CSR disclosure (Ballou, Heitger, & Landes, 2006). We examined CSR scores for Canadian firms listed only on Canadian stock exchanges and for Canadian firms cross-listed on U.S. exchanges. During this period, our analysis shows an overall decrease in CSR scores for all Canadian firms in our sample, and for both our subsamples of firms: Canadian firms cross-listed on U.S. stock exchanges and Canadian firms listed only on Canadian exchanges. Our analysis suggests that as a result of increased scrutiny facilitated by the regulatory changes, CSR disclosures become more transparent and comprehensive: CSR Strengths and CSR Weaknesses Scores both declined after 2002 resulting in an overall decline in Total CSR scores. Implications for research and practice are discussed.

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)0.096
metaresearch head score (Gemma)0.118
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.501
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0960.118
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0050.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.009
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 head0.302
GPT teacher head0.445
Teacher spread0.143 · 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; both teacher heads agree on what is shown here.

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

Citations9
Published2013
Admission routes1
Has abstractyes

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