Optimización y Reinvención del espacio Urbano Canadiense
Bibliographic record
Abstract
Densifying urban spaces leads to uncertainty with regard to investments and time. In the context of a pilot project and based on the important loss of Montreal�s1971 primary downtown population, this study considers the 1991�2001 development trends, taken from the Canadian official census, to estimate which attraction power in terms of re-densification expectations for Montreal will be most likely to exert the greatest effect on the population in 2026 to result in a 100% recovery of its original demographics. The implicit purpose is to know if the implemented planning process by re-densifying the downtown will attenuate the unbridled peripheral densification. Extrapolations made on populations considered as representative of the future expected profiles found that these will fluctuate between 50% and 90% recovery of the 1971 original base by the year 2026. The study concludes that the attractiveness and power of the Municipality of Montreal to recuperate its total population and diminish peripheral growth will be more significant during later stages.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".