La croissance des villes canadiennes et australiennes guidée par le hasard ? Enjeux et mesure de la croissance aléatoire urbaine
Bibliographic record
Abstract
Cet article apporte des éclaircissements quant à l’existence d’une croissance urbaine aléatoire pour les cas Canadien et Australien. La détection de ces processus passe par un approfondissement du protocole de test en distinguant trois spécifications : marche aléatoire pure, avec dérive, et avec dérive et tendance. L’article démontre que la croissance urbaine comporte effectivement une dimension aléatoire. Les petites aires urbaines y sont plus sensibles et leur croissance dépend exclusivement de chocs. Les grandes aires urbaines et celles qui détiennent des activités économiques métropolitaines, croissent sous l’effet d’une tendance déterministe diluant l’effet des chocs, les rendant moins fragiles.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.005 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".