La dynamique sociorésidentielle d’une ville latino-américaine : Puebla au Mexique
Bibliographic record
Abstract
Cet article présente une analyse des changements dans la répartition sociorésidentielle des ménages survenus à Puebla (Mexique) à la suite d’un imposant projet gouvernemental de revitalisation. La disponibilité limitée de variables socioéconomiques discriminantes dans les recensements mexicains a pu être contournée grâce à l’usage de caractéristiques qui témoignent indirectement du statut des ménages. L’introduction de ces variables dans une analyse par grappes, utilisant la technique de classification ascendante hiérarchique, a permis de faire ressortir un continuum socio-professionnel qui a été cartographié. Pour 1990, les résultats obtenus confortent des analyses menées antérieurement en présentant deux axes d’expansion où se concentre la classe professionnelle. Cependant, les résultats pour 2000 mettent en doute l’expansion continue de ces axes. Ils ne montrent pas non plus de changements perceptibles du statut socioprofessionnel des ménages dans le centre historique suite au projet de revitalisation.
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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 | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".