Bibliographic record
Abstract
Norteamérica, Revista Académica is the first academic journal of its kind to undertake a systematic study of North America.Over the last two decades, the three countries of North America -Canada, the United States and Mexico-have reduced some of the barriers separating each country from the other, and as a result, today, "North America" is more than just a geographical expression.And yet our understanding of this largest free trade area in the world in terms of its economy and territory is inadequate, and the differences that continue to separate the countries often seem more formidable than the shared interests.That is why among other reasons we are launching this journal.The National Autonomous University of Mexico's Center for Research on North America (CISAN) has been studying the phenomenon as has American University's Center for North American Studies (CNAS), since the 1980s.Over time, the need for such a journal has increased.Although the North American Free Trade Agreement (NAFTA), now 12 years old, began as a very promising space for regional integration, today, it seems to have encountered serious limitations consistent with its original shortcomings, among which are its precarious institutionality and some of its political and socio-cultural impacts.Many had hoped that deeper integration among the three countries would lead to trilateral approaches and institutions, but this has not occurred.Some believe that this is due to "September 11 th " and Washington's national security response; others attribute it to historical inertia, the lack of leadership, and the reluctance of some to go further in the integration process.Whatever the reason, the potential trinational relationship has not developed; the true relationships remain asymmetrical and dual-bilateral -U.S.-Canada and U.S.-Mexico.We hope this journal will contribute to build the consciousness and the academic proposals towards the fulfillment of North America's expectations.Norteamérica, Revista Académica appears in Mexico thanks to the leadership of CISAN and the support of CNAS.We believe it is essential to understand the different
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.515 | 0.475 |
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".