Capítulo 34: Impulsando las relaciones entre la selva amazónica y las ciudades globalizadas
Bibliographic record
Abstract
Al brindar una revisión breve y no autorizada de las relaciones físicas y culturales entre las áreas rural/forestal y urbana en la Amazonía, identificamos varios aspectos a mejorar, como subsidiar la residencia de largo plazo de los profesionales de la salud en el campo, implementar cinturones agrícolas/extractivistas peri-urbanos para la seguridad alimentaria en las ciudades, aumentar la penetración de los bosques y espacios verdes en los paisajes urbanos amazónicos, invertir en innovación en torno al concepto de “ciudades inteligentes-bosques inteligentes” y, quizás lo más importante, movilizar recursos humanos, financieros y recursos institucionales para propiciar una resignificación o refundación de los vínculos culturales, espirituales y afectivos de los habitantes urbanos con el bosque, apoyados en la gente del bosque y sus cosmovisiones.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.030 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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; both teacher heads agree on what is shown here.
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".