Education-Related COVID-19 Difficulties and Stressors during the COVID-19 Pandemic among a Community Sample of Older Adolescents and Young Adults in Canada
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
The COVID-19 pandemic created significant disruptions to the provision of education, including restrictions to in-person and remote learning. Little is known about how older adolescents and young adults experienced these disruptions. To address this gap, data were drawn from the Well-Being and Experiences study (the WE Study), a longitudinal community-based sample collected in Manitoba, Canada, from 2017–2021 (n = 494). Prevalent difficulties or stressors during in-person learning were less interaction with friends or classmates, worrying about grades, less interaction with teachers, and too much screen time (range: 47.3% to 61.25%). Prevalent difficulties or stressors for remote learning were less interaction with friends or classmates and teachers, less physical activity, worrying about grades, and too much screen time (range: 62.8% to 79.6%). Differences related to sex, education level, financial burden, and mental health prior to the pandemic were noted. From a public health perspective, efforts to re-establish social connections with friends, classmates, and teachers; strategies to manage stress related to worrying about grades or resources to improve grades that have declined; and approaches to reduce screen time in school and at home may be important for recovery and for any ongoing or future pandemics or endemics that impact the delivery of education.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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