Improving Interim Reporting/L'Amélioration de L'Information Financière Intermédiaire
Bibliographic record
Abstract
ABSTRACT This paper is based on the Interim Reporting session of the Maintaining Quality Capital Markets through Quality Information Conference. Several significant initiatives relating to interim reporting were introduced and debated, including moving to a mandatory review regime in Canada and requiring firms to issue a review engagement report on the interim financial statements to the public. Conference participants were asked to vote on seven questions relating to these initiatives. This paper summarizes the results of the voting and discussion from the conference. Related academic research is also presented. RÉSUMÉ Le présent article s'inspire de la séance du congrès sur le rôle de la qualité de l'information dans le maintien de la qualité des marchés financiers ayant porté sur l'information financière intermédiaire. Plusieurs projets importants relatifs à l'information financière intermédiaire ont été présentés et débattus, notamment la perspective du passage à un régime d'examen obligatoire au Canada et de l'obligation pour les entreprises de produire un rapport de mission d'examen des états financiers intermédiaires à l'intention du public. Les participants au congrès ont été appelés à voter sur sept questions relatives à ces projets. Le présent article résume les résultats du vote et les discussions tenues dans le cadre du congrès. Des recherches universitaires connexes sont également présentées.
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 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 | 0.003 | 0.029 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.007 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".