The Lived Experiences of COVID-19 Quarantined Omani Adults: A Phenomenological Study
Bibliographic record
Abstract
This study aimed to promote an in-depth understanding of lived experiences of Omani adults who were quarantined with COVID-19. Giorgi's descriptive phenomenological qualitative method was used to collect and analyze data from twelve eligible participants, who were selected through purposive snowball sampling. Data were collected from eligible participants using interrogatory statements during semi-structured audio-recording individualized phone interviews. Five general structural descriptions (GSDs) reflected the essence of the lived experiences of Omani adults who had been diagnosed with COVID-19 and experienced home quarantine. The GSDs of their lived experiences represented five phases: (1) before catching the infection (“No way I will get infected”), (2) between catching the infection and the quarantine (“I may be infected”), (3) early in the quarantine (“Oh my God, I am infected”), (4) in the middle and end of the quarantine (“So what? Yes, I am infected”), and (5) after the quarantine (“Praising God because I was infected”). The findings show that they experienced the quarantine period positively, as a time of self-growth and empowerment, highlighting the need to look at the brighter side of life. This qualitative study highlights that a positive outlook will help people regain their balance in any negative situation. It is the mindset that matters, not the 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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.006 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".