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Record W2150192753 · doi:10.1111/1911-3838.12047

Did the Mandatory Adoption of <scp>IFRS</scp> Affect the Earnings Quality of Canadian Firms?

2015· article· en· W2150192753 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueAccounting Perspectives · 2015
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAuditing, Earnings Management, Governance
Canadian institutionsUniversity of WindsorToronto Metropolitan University
Fundersnot available
KeywordsAccrualEarnings qualityEarningsBusinessInternational Financial Reporting StandardsEarnings response coefficientAccountingSample (material)Quality (philosophy)

Abstract

fetched live from OpenAlex

Abstract This study examines whether the mandatory adoption of International Financial Reporting Standards ( IFRS ) affected the earnings quality of Canadian public firms. We compare the pre‐ IFRS versus the post‐ IFRS earnings quality, as measured by discretionary accruals, performance‐matched discretionary accruals, small positive earnings, earnings persistence, and the earnings response coefficient. Using a sample of 274 firms, we find no significant difference in discretionary accruals, performance‐matched discretionary accruals, the likelihood of small positive earnings, and the earnings response coefficient between the pre‐ and post‐ IFRS periods, despite the finding that firms have more persistent earnings in the post‐ IFRS period than in the pre‐ IFRS period. Overall, results from this study are mixed and suggest that there has been no significant change in earnings quality for public Canadian firms after the adoption of IFRS .

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.

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)0.003
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.023
GPT teacher head0.247
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