Personal Tax Planning: Due Diligence Defence to Liability for Unpaid Statutory Remittances
Bibliographic record
Abstract
Several potentially onerous liabilities may be imposed on directors outside the provisions of the statute under which their corporation is incorporated or continued. In particular, some of the most common sources of personal liability for directors arise under statutes requiring the corporation to pay employee payroll source deductions (income tax, Canada Pension Plan contributions, and employment insurance premiums), withholding taxes owing by non-residents of Canada, and net goods and services tax and harmonized sales tax remittances. These statutory regimes all have certain features in common, including a statutory due diligence defence. This article examines the state of the law under the objective standard of care first adopted in the tax context by the Federal Court of Appeal in Buckingham. In particular, it examines the principles that guide jurisprudence on the due diligence defence, the factual circumstances that have met with success or failure for appellants, and how the defences apply differently depending on whether a director is an inside or outside director.
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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 | 0.015 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.020 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.014 | 0.013 |
| Insufficient payload (model declined to judge) | 0.005 | 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".