Role of Media Consumption, Governmental Distrust & Psychological Vulnerability in Predicting Affective Well-being of University Students & Healthcare Professionals during COVID-19
Bibliographic record
Abstract
The present research aimed to explore the role of media consumption, governmental distrust, and psychological vulnerability in predicting the practical well-being of university students and healthcare professionals during COVID-19. Two correlational studies were conducted. Study 1 was conducted with 411 university students (206 Women; 205 men), and it was conducted during the first lockdown in Pakistan. Study 2 was conducted during the thigh-intensity phase he COVID-19, and the sample comprised 375 healthcare professionals (198 women; 177 men). Both studies showed that higher levels of media consumption, governmental distrust, and psychological vulnerability were associated with lower levels of well-being. Our path models in both studies (with students and healthcare professionals) indicate that during the pandemic, participants’ level of media consumption, trust in the government, and their personal vulnerability were negatively associated with their affective well-being. These findings have implications for individuals’ affective well-being during healthcare crises such as the COVID-19 pandemic.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".