Exploring Student and Advisor Experiences in a College-University Pathway Program: A Study of the Bachelor of Commerce Pathway
Bibliographic record
Abstract
Currently, there is great interest across Ontario in the expansion of pathway programs between colleges and universities. Through strategic partnerships, two Ontario-based postsecondary institutions (a college and a university) have developed innovative and effective pathway programs that facilitate the transition of students between institutions for the completion of degrees, diplomas, and certificates. These programs support the training of highly qualified, market-ready graduates. This paper reports on a mixed-methods study of the successes and challenges of a particular Ontario college and university pathway program, with a focus on the Bachelor of Commerce Pathway program. Preliminary results indicate that pathway students were more academically successful than their traditional university student counterparts but did experience a number of challenges in transitioning from college into university. Principal challenges included inefficient communication between program administrators, academic advisors, and students; lack of orientation activities for pathway students; lack of college student preparedness in communication and critical thinking skills; and difficulties experienced by college students integrating into the social-cultural life of the university.
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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 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".