Bibliographic record
Abstract
nowledge and understanding are the best diplomats for any nation, people, or group.What we know or learn about a nation, people, or group helps us understand their perspective, world views, and interests.Building knowledge to enable understanding, constructive critique, and the creation of meaningful relationships is the mainstay of any educational institution.Knowledge itself helps build bridges and create relations across oceans, geopolitical and cultural borders, and cultural, racial, social, and linguistic differences.Hence, knowledge building has been seen at the forefront of international political diplomacy, supported by diplomacy via cultural institutions, arts, literature, and sports.International book fairs and soccer championships are good examples of such diplomacy.For a long time, Canada invested in international Canadian Studies through government programs.The last of these, Understanding Canada, was discontinued by the Stephen Harper government in 2012, resulting in a decreasing number of Canadian Studies programs and courses taught at non-Canadian universities, less student and faculty exchange, and less specific research on Canada.From a European perspective, the space for the study of Canada is slowly being taken over by research and study interest in the United States and the United Kingdom, which were always the mainstays of anglophone studies, but increasingly so in Australia, New Zealand, India, Nigeria, and South Africa.
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 | 0.001 | 0.000 |
| 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".