La tasa de retorno energético desde un enfoque agroecológico y su aplicación a la evolución de la agricultura española, 1900-2010
Bibliographic record
Abstract
Los análisis energéticos aplicados a la agricultura deben expresar algo más que el "coste energético" de la biomasa neta producida en beneficio de la sociedad. Deben, además, informar sobre los cambios estructurales y funcionales en los agroecosistemas que puedan afectar al mantenimiento de los servicios ambientales que éstos proporcionan. Con este fin, hemos desarrollado una propuesta metodológica que propone Tasas de Retorno Energético (TRE) con enfoque agroecológico, que complementan las TRE con enfoque económico existentes. Esta propuesta se ha aplicado a la agricultura española en tres momentos clave: la agricultura orgánica equilibrada (año 1900), el comienzo de la industrialización de la agricultura (1960) y la plena industrialización agraria (2008). Los resultados muestran la pérdida de eficiencia energética debido al proceso de industrialización y cuestionan que la intensificación haya supuesto beneficios ambientales a causa del abandono parcial de las tierras agrarias.
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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 | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".