Policy Forum: How Canada Could Benefit from E-Invoicing for GST/HST Purposes
Bibliographic record
Abstract
In this article, the author reviews the importance of electronic invoicing (e-invoicing) in value-added tax systems from the perspective of both government and taxpayers. E-invoicing is defined as the adoption of a standard requiring that businesses issue invoices containing mandatory information related to the supply in a prescribed electronic format, and transmit to the tax administration in real time through a specified electronic system. The author also analyzes the development of e-invoicing systems around the world, beginning with the Latin American pioneers and then proceeding to recent experiences in Europe. The experience in Latin America shows that governments can gain from e-invoicing through the reduction of tax fraud and the consequent increase in government revenue, while the experience in Europe shows that businesses have their own reasons for promoting e-invoicing, most notably to reduce compliance costs. In conclusion, the author suggests avenues for introducing e-invoicing into the Canadian goods and services tax/harmonized sales tax system.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.011 | 0.003 |
| Scholarly communication | 0.010 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.011 | 0.005 |
| Insufficient payload (model declined to judge) | 0.038 | 0.004 |
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".