The Challenges of Collaborative Learning across the Border--Canada and the United States: Divergent Paths/Intertwined Futures.
Bibliographic record
Abstract
For The PAST Two yeArS, faculty at Siena College and Loyola International College for Diversity and Sustainability (LCDS), formerly Loyola International College, have jointly taught a comparative Canadian/ U.S. history class. Siena College, located in Loudonville, New york, a suburb of Albany, is a private, Catholic Franciscan, residential, liberal arts’ college with a student body of about 3,000. Founded in 1937, the Siena College offers thirty degree programs, forty-five minors and certificate programs, and professional curricula in teacher preparation, premedical, pre-law, and social work. Siena is organized into three colleges: Liberal Arts, Business, and Science. established in 2001, LCDS is an interdisciplinary college at Concordia University in Montreal, Quebec. Students from different academic and cultural backgrounds delve into some of the most complex and challenging issues facing humankind in the twenty-first century, examining their area of study from global and multicultural perspectives. Concordia University, an english language university, has more than 46,000 students and offers 433 undergraduate and graduate programs. The creation of a collaborative class between Siena and LCDS was based on three assumptions. Firstly, that American students knew very little about their Canadian counterparts and their country’s largest trading partner
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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 | 0.011 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.050 | 0.042 |
| Scholarly communication | 0.034 | 0.016 |
| Open science | 0.003 | 0.020 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.008 | 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; 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".