Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Con el anuncio reciente de que los gobiernos de Canada, Mexico y Estados Unidos habian llegado a un consenso sobre los acuerdos suplementarios al TLC sobre el medio ambiente, se hizo evidente que el TLC formara parte de un regimen trinacional para el manejo del medio ambiente. Ya que el congreso estadounidense esta en proceso de implementar el TLC, nos conviene preguntar, ?que implica el TLC para el futuro del manejo del medio ambiente en la frontera mexico-estadounidense? Aunque la respuesta puede ser especulativa, esta puede buscarse en el texto del mismo TLC, incluyendo sus acuerdos suplementarios: ?como se puede adaptar al regimen existente en el medio ambiente fronterizo, y que capacidad tiene este regimen para acomodar tendencias ambientales ya presentes en la region? El articulo analiza como cada uno de estos elementos contribuye a las interrogantes planteadas anteriormente. ABSTRACT With the recent announcement of agreement on supplemental environmental accords by the governments of Canada, Mexico, and the United States, it now appears NAFTA may indeed become part of the trinational environmental management regime. As the United States Congress moves to authorize NAFTA's implementation, it is fruitful to ask what it means for the future of environmental management along the Mexico-United States border. While speculative, the answer may be sought in the text of the NAFTA agreement, including the supplemental accords, its fit to the extant environmental regime for the border area, and the capacity of that regime to accommodate environmental trends now in place in the region. The remainder of this essay analyzes each of these elements as they shape an answer to the stated question.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 it