Redistribution de l'emploi et territoires métropolitains: la recomposition du péri-urbain en Amérique du Nord
Bibliographic record
Abstract
EnglishThe rapid transformation of metropolitan areas involves the development of new employment patterns which are modifying the traditional relations between the downtown and the suburbs. The spatial concentration of high-order economic activities in suburban centres is creating a structure and a dynamic that are very different from those of the past. Recent evidence of the generalized dispersion of employment has lead researchers to question the relevance of the polycentric model of metropolitan form that had been seen as the replacement of the monocentric model. Is polycerrtricity simply a transitory phase on the way to dispersion? An analysis of the spatial distribution of employment in the four largest Canadian metropolitan areas, and its changes over the period 1981-1996, enables us to examine these issues, and to consider the extent to which political and cultural factors play a role in the emergence of these new models of metropolitan organisation. francaisLa rapide transformation des metropoles ne saurait se comprendre hors de l'analyse de la redistribution de l'emploi qui rend caducs les rapports traditionnels entre le centre-ville et les banlieues. L'agglomeration d'activites centrales dans des noyaux peripheriques engendre une forme et une dynamique urbaines differentes. Toutefois, des indices de dispersion generalisee de l'emploi invitent a se demander si l'organisation polycentrique est un modele durable d'organisation metropolitaine ou une cristallisation ephemere. Une analyse de la repartition de l'emploi et de son evolution entre 1981 et 1996 permet de tester ces hypotheses pour les metropoles canadiennes, et de reflechir au poids des facteurs politiques et culturels dans l'emergence des nouveaux modeles d'organisation.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".