Urban interrelation and regional patterning in the department of Puno, Southern Peru
Bibliographic record
Abstract
Le département de Puno s'inscrit autour du lac Titicaca (3 800 m au-dessus du niveau de la mer) pour occuper un vaste plateau (l'altiplano) ainsi que les hautes chaînes andines (la puna) et; déborder au nord vers le bassin amazonien (la selva). En utilisant à la fois des informations recueillies lors d'enquêtes sur le terrain et des données de recensement (1940 et 1961), cet essai poursuit un double objectif: on a tenté d'analyser d'une part, l'évolution et l'interdépendance des principaux centres du département de Puno pour proposer, d'autre part, une régionalisation à partir des structures géo-spatiales et des organisations administratives. De plus, on a brièvement traité de la nature des agglomérations et on a réalisé une analyse quantitative regroupant 30 variables reportées sur les 85 districts du département. L'auteur conclut en suggérant que toute planification est un processus qui doit aboutir à un compromis entre des composantes spatio-économiques (planificaciôn tecno-crética) et des composantes socio-culturelles (planificaciôn de base).
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| 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".