Finanzas sostenibles : el mercado de carbono en Uruguay.
Bibliographic record
Abstract
El presente trabajo tiene por objeto el análisis de determinado mecanismo que las finanzas modernas han perfeccionado a efectos de colaborar con el desarrollo sostenible de los países, facilitando la adopción de acciones tendientes a la protección del medio ambiente y a la disminución del impacto climático de las actividades económicas. Este mecanismo contribuye al cumplimiento de los compromisos en materia de disminución de las emisiones de gases de efecto invernadero (GEI), asumidos por los países en el marco de la ratificación de acuerdos internacionales tales como el Protocolo de Kioto y el Acuerdo de París. También es utilizado por quienes en forma voluntaria se auto-exigen el cumplimiento de ciertos límites de emisión. Se analizarán los mercados existentes a nivel regional e internacional donde se negocian ciertos instrumentos financieros denominados certificados de carbono, emitidos con el objetivo de captar fondos para ser destinados a actividades sustentables.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".