Bibliographic record
Abstract
The CEC was created in 1994 under the North American Agreement on Environmental Cooperation (NAAEC), which was concluded by Canada, Mexico, and the United States as a side agreement to the North American Free Trade Agreement. The CEC’s mission is to facilitate collaboration and public participation to foster conservation, protection, and enhancement of the North American environment for the benefit of present and future generations. A Council composed of Cabinet-level environmental officials from each of the NAAEC parties governs the CEC, oversees the implementation of the agreement, and oversees the CEC Secretariat, while a fifteen-member Joint Public Advisory Committee (JPAC) acts as an independent advisory body to the Council on any matter within the scope of the agreement. The CEC Secretariat is headquartered in Montreal and has a liaison office in Mexico City. It is headed by an executive director who oversees programs fostering co-operation on various North American environmental matters, the development of independent Secretariat reports on North American environmental issues, and a unit that processes citizen submissions on enforcement matters (SEM process). On 26 October, the Council appointed Irasema Coronado as the seventh executive director of the CEC Secretariat. The new director began a three-year term on 1 December. Coronado was formerly a JPAC member appointed in May 2010 by President Barack Obama and served as JPAC chair in 2011 (more information is available at <http://www.cec.org>).
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.
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 | 0.000 | 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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; both teacher heads agree on what is shown here.
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".