Increased Screen Time for Children and Youth During the COVID-19 Pandemic
Bibliographic record
Abstract
Screen time has substantially increased for children and youth in Ontario and globally during the COVID-19 pandemic. Emergency measures introduced during the pandemic such as closures of schools and recreation contributed to increased screen time. There is a growing body of evidence associating increased screen time with harms to physical (e.g., decreased physical activity, eye strain and headaches), cognitive (e.g., attentiveness) and mental (e.g., reported symptoms of depression and anxiety) health in children and youth. There are evidence-based strategies to promote healthy screen habits for children and their families which offer an approach to encourage healthier screen use in the home setting and mitigate potential harms. However, the burden to reduce screen time cannot fall to parents and families alone. Policies are needed to avoid closures of school and recreation, and ensure alternatives to screen time for children and youth of all ages that promote socialization and physical activity. In addition, there are key equity considerations when it comes to accessibility of alternatives to screen time such as child care and community recreation.
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.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".