ELECTORAL DISTRICTS FORMATION AND REDISTRICTING EXPERIENCE OF CANADA REGIONS
Bibliographic record
Abstract
On the basis of the analysis of federal and regional level legislations, as well as judicial practice this article studies the issues of constitution-legal regulation of the order of formation and redistricting of electoral districts in the regions of the Canadian federation from a perspective of ensuring the implementation of the provisions of the Supreme Court of Canada to ensure an effective national representation (Reference re Prov. Electoral Boundaries (Sask.)). The article outlines proposals on mainstreaming the multifaceted approach of Canadian legislators and the expansion of the list of conditions that affect the ability to make decisions on formation and adjustment of electoral districts in the Russian Federation. The author uses general scientific methodology (analysis, synthesis, analogy, comparison), as well as other methods (historical, legal, historical, comparative law). For the first time the constitution-legal analysis of the Canadian Constitution provisions was carried out, as well as that of the acts of judicial practices and regional legislation regulating the procedure of the electoral districts’ formation and redistricting in the constituent entities of the Canadian federation from a perspective of ensuring the implementation of the provisions of the Supreme Court of Canada to ensure an effective national representation.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.019 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".