Developing National and International Civic Engagement Networks: The International Consortium for Higher Education, Civic Responsibility, and Democracy
Bibliographic record
Abstract
The signing of the North American Free Trade Agreement (NAFTA) between the United States, Mexico, and Canada in 1993 paved way for many changes in Mexico, not only in the economy but in all areas of society. It has accelerated changes in education generally and, particularly in elementary and secondary education, created common cause among teachers' unions throughout North America.2 These worries extended to higher education as well. Writing for the Annals of the American Academy of Political and Social Science, Guillermo de los Reyes opined that NAFTA "… has made Mexican academics mindful of the fact that U.S. universities in the new economic climate should be regarded as more than teaching institutions—they are a global economic resource that has and will have a profound influence on people who will never visit their campuses. The question of how Mexican researchers and academics are going to come to terms with the situation becomes pressing as NAFTA lowers the protective barriers. The illusion of being an equal partner or of being able to compete in many sectors is dangerous, particularly in the university sector."3KeywordsCivil SocietyPolitical ParticipationCivic EngagementNorth American Free Trade AgreementCitizenship EducationThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".