Las transformaciones de las metrópolis de las Américas
Bibliographic record
Abstract
Este libro, que se terminó de compilar a finales de 2011, es el resultado de una amplia colaboración que se extendió a treinta y ocho investigadores provenientes de siete países: diez y seis de Canadá, nueve de Brasil, seis de Argentina, tres de México, dos de Francia, uno de Colombia y uno de Italia. Los textos aquí reunidos tratan de once metrópolis diferentes, a saber: cinco brasileñas (Belo Horizonte, Curitiba, Rio de Janeiro, São Paulo y Santos), tres zonas de la metrópoli argentina de Buenos Aires (Zárate, Campana, Tigre), dos metrópolis de Estados Unidos (San Francisco-Oakland y Seattle), la metrópoli de México, Bogotá en Colombia y, finalmente, la metrópoli canadiense en Quebec de Montréal. La principal cuestión que subyace a este libro es si teniendo en cuenta las mutaciones sufridas por las metrópolis canado-estadounidenses y latinoamericanas, ¿están en proceso de convergencia o, por el contrario, siguen unas y otras sus propias vías? Las respuestas a este interrogante diferirán de un lector a otro, pero es probable que todos reconocerán que las metrópolis de América están sin duda alguna en un proceso de cambio, tanto en el Norte como en el Sur.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.016 | 0.001 |
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".