¿Agua para exportar? La posición de Canadá frente a la exportación del agua de los Grandes Lagos de Norteamérica
Bibliographic record
Abstract
Desde los años 80 diversos proyectos de exportación de agua en grandes cantidades han sido concebidos tanto en Estados Unidos como en Canadá dada la abundancia del agua en la región de los Grandes Lagos de Norteamérica y las frecuentes declaraciones de estados de sequías intensas en el suroeste americano. Desde que se firmó el Tratado de libre comercio de Norteamérica, se plantea que el agua fue incluida como cualquier otra mercancía y el temor de los gobiernos de perder el control del recurso aumentó considerablemente. Por estas razones, los Estados americanos y las provincias canadienses ribereñas de los Grandes Lagos de Norteamérica y del río San Lorenzo se han dotado de un marco jurídico transnacional con el fin de proteger estas reservas mundiales de agua de los proyectos de exportación en grandes cantidades.
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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 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".