The Concurrent Education Program at Laurentian University: What Have We Learned From the First Graduating Class?
Bibliographic record
Abstract
In September 2003, Laurentian University began offering a Concurrent Bachelor of Education in English. As the program prepared to graduate its first cohort in the spring of 2007, the researchers realized they had a unique but brief window of opportunity to learn as much as possible from the first graduating class. This article reviews the findings through a three-pronged approach: three ninety-minute focus group sessions with graduating students, the administration of a Likert scale, and an exit interview with each participating student. Key results indicate that students were overwhelmed by both teaching responsibilities and class-based assignments. Their early pre-practicum experiences provided later context for reflective practice during the final practicum experiences. In some situations, the students more readily connected with their associate teacher, while others struggled to find their place in the classroom. In contrast to other studies, results indicate that the teaching practicum is not always the transforming highlight of the professional year.
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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 | 0.006 | 0.020 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 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".