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
T he history and current situation of Canada are dealt with only modestly in North American studies, which for several decades now have centered on the United States, its history, its domestic and foreign policy, or its relations with its neighbors, just to cite a few examples.Justin Trudeau's taking offi ce as prime minister in November 2015 positioned Canada as one of the central actors in international politics, above all thanks to his government's leadership in receiving refugees, mainly Syrians.However, in Mexico a great deal is still unknown about the country of the maple leaf, whether its politics, culture, society, or economy.In addition, the importance of a broader, closer relationship between our two countries is not widely recognized.In this context, the research done by the Center for Research on North America (cisan) has been key for generating knowledge about our northern nafta partner.Since its creation in 1988, this center has been committed, as former Director Silvia Núñez García has said, to broadening and strengthening research on Canada, which has been structurally weak for more than two decades.The book Canadá y México durante la era Harper: reconsiderando la confianza (Canada and Mexico in the Harper Era: Reconsidering Confidence),
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.021 | 0.333 |
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