Did the Mandatory Adoption of <scp>IFRS</scp> Affect the Earnings Quality of Canadian Firms?
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.025 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".