The Archway program: a qualitative exploration of a support program for first-year University students during COVID-19
Bibliographic record
Abstract
Objective: The purpose of this investigation was to understand the student-perspective impact of an institutional program to support first-year university students during COVID-19. Interviews were conducted with 37 university students nearing the completion of their first year of studies. Methods: Purposive sampling was conducted to interview students with varying degrees of engagement with the Archway program. Thematic analysis was conducted to better understand how Archway specifically supported students during the pandemic and to determine how the program could be improved and adapted to other contexts and schools. Results: Overall, four overarching themes were developed, revolving around the first-year experience, the mentorship program, community events, and barriers students experienced to participation. Conclusions: Implications for these findings may help to better understand first-year student experiences of virtual support mechanisms, which could help to inform strategic initiatives and programming among post-secondary institutions.
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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 | 0.002 | 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 | 0.003 | 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".