New Canadian Accounting Standards for Private Enterprises and the Adoption Timing Decision
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.
Bibliographic record
Abstract
Prior research into the adoption timing decision of organisations in relation to newly promulgated accounting standards has focused exclusively on public enterprises and used economic cost–benefit frameworks as a main method of analysis. The current study examines the impact of a broader range of factors, including cost–benefit considerations, on the adoption timing decision of private firms with respect to the new set of Canadian accounting standards for private enterprises released in 2009. These factors were organised into a coherent framework using the theory of planned behaviour. The survey findings reveal that several items related to attitudes towards the behaviour, subjective norms and perceived behavioural control play a significant role in managers’ adoption behaviour. This study provides relevant insights for private enterprise managers, financial statement users, standard setters and academics.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it