Evaluating the impact of Archway: a personalized program for 1st year student success and mental health and wellbeing
Bibliographic record
Abstract
BACKGROUND: First-year students entering postsecondary education must navigate a new and complex academic and social environment. Research indicates that this transition and developmental period can be challenging and stressful - academically, emotionally and socially - and that mental health and wellbeing can be compromised. Additionally, mental health disorders can also compromise students' ability to successfully navigate this transition. In the COVID-19 pandemic, the incoming 2020 cohort of first-year students face heightened and new challenges. Most will have spent the conclusion of high school learning virtually, in quarantine, in an uncertain and difficult time, and are then experiencing their first year of university while living, learning and socializing off-campus, virtually and remotely. In response to COVID-19 and with an appreciation of the considerable stresses students face generally and particularly in 2020-21, and the potential effects on mental health and wellbeing, McMaster University, a mid-sized research intensive university with approximately 30,000 students, has developed an innovative program to support students, called Archway. This initiative has been developed to help to prevent and to intervene early to address common transitional issues students experience that can influence mental health and wellbeing, with the ultimate goals of increasing student connectedness, supports, and retention. METHODS: The current study will use a mixed-method design to evaluate Archway and gain a better understanding of the transition into first-year postsecondary for students who engage and participate in Archway at various levels. The study will not only help to determine the effect of this program for students during COVID-19, but it will help us to better understand the challenges of this transition more broadly. DISCUSSION: Findings have the potential to inform future efforts to support students and protect their mental health and wellbeing through the use of virtual and remote platforms and mechanisms that meet their increasingly diverse needs and circumstances.
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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 | 0.004 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".