Villes et croissance : Choix du lieu de residence selon le capital humain : le role des attraits urbains et de la densite des marches du travail
Bibliographic record
Abstract
Une litterature de plus en plus abondante fait etat d'une association positive entre le capital humain et la croissance de long terme de l'emploi dans les villes. Ces etudes ont suscite le desir de comprendre ce qui influence les titulaires d'un diplome universitaire, groupe souvent utilise comme mesure indirecte du capital humain, dans leur choix d'un lieu de residence. Fondee sur les donnees du Recensement de la population du Canada de 2001, la presente etude porte sur les determinants du choix du lieu de residence des personnes titulaires d'un diplome universitaire et de celles qui ne le sont pas. Un modele logit multinomial est utilise pour verifier une serie d'hypotheses au sujet des effets differentiels des marches du travail denses et des attraits urbains sur le choix du lieu de residence de ces groupes dans les regions metropolitaines et non metropolitaines au Canada.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".