Planification fiscale personnelle : Les crédits pour impôt étranger pour les contribuables ayant un revenu d'emploi transfrontalier
Bibliographic record
Abstract
Les crédits pour impôt étranger sont un mécanisme important pour éviter la double imposition des revenus gagnés à l'étranger. Dans le cas du revenu d'emploi transfrontalier gagné par un contribuable canadien, plusieurs aspects peuvent être très complexes et limiter l'accès aux crédits pour impôt étranger. Dans cet article, les auteurs donnent un aperçu des mécanismes de demande de crédits pour impôt étranger en vertu de la Loi canadienne de l'impôt sur le revenu et des dispositions pertinentes de certaines conventions fiscales bilatérales. Ils examinent également certaines interprétations techniques pertinentes publiées par l'Agence du revenu du Canada ainsi que la jurisprudence législative au Canada traitant de la détermination de la source du revenu d'emploi transfrontalier et de la possibilité d'obtenir des crédits pour impôt étranger sur ce revenu.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.005 | 0.003 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.002 |
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".