Bibliographic record
Abstract
Background and Objective: Coronavirus induced disease (COVID-19) is affecting people all around the world. The rising number of deaths due to COVID-19 is not only harassing people but also causing strong emotions in adults as well as in children due to anxiety, fear and stress. The objective of this study was to assess the fears, anxiety and stress due to COVID-19 pandemic and related issues among the apprentices at various levels in different parts of world. Methods: It was a cross sectional survey design to assess the students/trainee’s immediate psychological response during COVID-19 outbreak by using an anonymous online questionnaire. A snowball sampling technique was conducted focusing general public all around the world from 3rd April 2020 till 7th April 2020. A total of N=354 participants filled the form completely. The structured questionnaire collected information on demographic data and psychological aspect of this outbreak, including extreme fear and uncertainty. Results: A total of N = 354 participants completed the questionnaire; majority were from the age group of 21–30 years. Approximately 66.4% were females and 33.6% males. Participants from Asia were 83.6% while 9.9%, 3.4%, 2.8% and 1% from America/Canada, Europe, Africa and Australia respectively. Out of n = 354 participants 59.3% were relying on health professionals for authentic source of information regarding COVID-19 while 16.4%, 15% and 5.4% considered social media, television and World Health Organization (WHO) website respectively as their authentic guide. Out of the (n = 354) participants 80.5% were afraid about health status during COVID-19 most predominantly females (66.3%) (P = 0.000). A total of 65.8% participants felt agitated or irritated in this outbreak. Conclusion: COVID-19 lockdowns are affecting both physical and mental health of students and apprentices enrolled at different levels of education. Females are more affected and concerned to their loved ones and themselves. Working norms are being maintained and responsibilities are being fulfilled despite this grave situation.
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".