Bibliographic record
Abstract
L’article est une chronique de l’évolution de Montreal tant en termes réels qu’en termes des diagnostics qui ont été posés au cours des années. Sous la pression de la mondialisation, Montréal a subi une restructuration économique dont l’une des conséquences a été de transformer la rivalité Montréal-Toronto en un jeu impliquant l’ensemble des métropoles nord-américaines. L’autre conséquence a été (i) de plonger Montréal et Toronto, de façon égale, dans une période de stagnation (1987-1995), (ii) d’augmenter la tertiarisation de Montréal et de Toronto, et (iii) de réduire le rôle des hinterlands vis-à-vis les métropoles; ce qui a accentué la dualité de l’économie québécoise. Tout cela fait en sorte que l’avenir de Montréal, comme celui des autres métropoles, repose sur la croissance endogène alimentée en partie par les industries basées sur le savoir.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.005 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.021 | 0.001 |
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".