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 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".