A Pipeline Story: The Evolving Autonomy of Canadian Municipalities
Bibliographic record
Abstract
Pipeline projects in Canada often polarize citizens and governments from coast to coast. While the approval of such projects may seem simple from a constitutional standpoint, recent events show that legal realities and complexities truly add some grit in the works of pipeline projects even if the federal government is constitutionally responsible for the ultimate approval or refusal of projects because of their interprovincial nature. In fact, the passage of a pipeline involves a number of other considerations and fields of law, such as the environment, land use planning, risk management, and human rights, which are within the jurisdiction of federal or provincial legislatures, or both, and also increasingly the business of municipalities. While municipal powers continue, twenty-five years after important statutory reforms were launched, to be considerably limited by the provinces, courts have made it clear that municipal by-laws apply to federal pipelines, unless they have an excessive or serious detrimental effect on the construction or exploitation of such an undertaking, or if they contradict the operation or the purpose of federal legislation. It is in this multi-layered context that this article discusses the legal autonomy of Canadian municipalities in regard to the pipeline debate in Canada, exploring the content, the extent, and the limits of their powers.
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 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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.058 | 0.017 |
| Scholarly communication | 0.012 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".