Vulnerabilidad metropolitana y roles estratégicos de los territorios agrícolas periurbanos en el contexto del cambio y la variabilidad climáticos
Bibliographic record
Abstract
Las regiones metropolitanas son vulnerables al cambio climatico desde distintas perspectivas. Los territorios rurales apoyan muchas funciones estrategicas esenciales para la calidad de vida de estas regiones, incluida su contribucion a la seguridad alimentaria. La supervivencia de la agricultura metropolitana requiere no solo la proteccion de los recursos agricolas, sino tambien que el valor de la funcionalidad de varios de estos territorios agricolas sea apreciado por su contribucion a la calidad de vida en estas regiones. Por ultimo, los agricultores tambien deben desarrollar aun mas su capacidad de adaptacion a diferentes factores estresantes, tales como el cambio climatico y la variabilidad, con el fin de sobrevivir, prosperar y seguir apoyando estas funciones estrategicas en la region metropolitana.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 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".