Burn or Balm?: Exploring University Students’ Experiences With Social Media During the COVID-19 Pandemic
Bibliographic record
Abstract
The impact on perceived burnout experiences among university students from the intensification of social media use during the earliest phase of the COVID-19 pandemic is not yet fully understood. In total, 516 university students (430 females) in a midsized city in Ontario, Canada completed one online survey that explored student characteristics (i.e., personality, life satisfaction, perceived stress, and basic psychological needs) as well as frequency and perceived purpose of social media use. Approximately 80% indicated an increase in their social media use with iMessage/Text messaging, Instagram, and Snapchat being the three most frequently accessed platforms. Social media use was associated with higher levels of perceived stress, extraversion, satisfaction and frustration of psychological relatedness needs, and frustration of competence need. Most students (87%) reported experiencing burnout. Greater burnout was associated with individuals who reported higher perceived stress, scored high in extroversion, and greater use of Instagram. Overall, intensified social media use during the pandemic yielded both positive and negative outcomes.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".