Emisiones de carbono para la ciudad de Buenos Aires
Bibliographic record
Abstract
Se presenta una evaluación de las emisiones de carbono para la Ciudad de Buenos Aires a partir de variables socioeconómicas que determinan su consumo de energía entre los años 1985 y 2005. Se realiza un análisis sectorial y por tipo de combustible y se las compara con otras ciudades, a partir de un análisis de flujo de materiales. Se observa que Buenos Aires la centralización de las administraciones gubernamentales, comerciales y financieras, provocan un aumento creciente del consumo energético per cápita muy superior a la media del país, movilizado por el aumento del transporte y el comercio. Consecuentemente sus emisiones de carbono, pasaron de 4 Mg/cap en 1985 a 8 Mg/cap en el 2005. En comparación Argentina se mantiene en 3,6 Mg/cap y Estados Unidos en los 20 Mg/cap. En cambio la ciudad de Nueva York pasa de 6,8 a 7,1 Mg/cap Toronto de 8,5 a 9,5 Mg/cap y San Diego 10,5 a 11,7 Mg/cap en 10 años. El aumento del consumo per cápita en las ciudades está produciendo un aumento en las emisiones atmosféricas dificultando su nivelación global.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".