Pot for Potholes: Could Cannabis Taxation Revenues Solve the Municipal Infrastructure Funding Deficit in Ontario?
Bibliographic record
Abstract
In Canada, it is estimated that the total value of core municipal infrastructure is over $1.1 trillion dollars or about $80,000 per household. Of this value one-third is in poor or very poor condition which increases the risk of service disruption. Municipalities are struggling to fund these infrastructure renewal needs with limited revenue tools. Property taxes remain the largest source of revenue for Canadian municipalities but are currently insufficient to meet their long-term needs. Municipalities in Ontario have been advocating for additional revenue tools to address this challenge. This paper uses a common set of evaluation criteria to analyze three potential revenue options to assist Ontario municipalities in funding their long-term infrastructure needs. These include a 1% increase to the provincial portion of the HST, the uploading of the education tax to create local property tax room, and the sharing of cannabis excise tax revenues with municipalities. The results of this analysis are compared to determine which of the proposed funding tools would best meet the needs of municipalities in addressing the infrastructure funding challenge.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".