The Influence of COVID-19 on Stress, Substance Use, and Mental Health Among Postsecondary Students
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Emerging adults, including post-secondary education students, are disproportionately affected by the social and economic impacts of the COVID-19 pandemic. The speed with which society moved in attempt to minimize the spread of the virus left many students with uncertainty and concern about their health, mental health, and academic futures. Considering that post-secondary students are a population at risk, it is important to determine how students respond in the face of the pandemic, and what coping mechanisms or supports will result in improved mental health outcomes. This knowledge will be helpful for post-secondary institutions to understand how COVID-19 has influenced the health and well-being of their students, and may facilitate the implementation of strategies to support their students. This narrative review explores evidence on how COVID-19 has impacted students with the overall goal to provide a set of recommendations to post-secondary institutions to help meet the evolving needs of this population.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 | 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 it