Unlocking the secrets of change: ethnographic insights into older adults’ leisure time physical activity during COVID-19
Bibliographic record
Abstract
The COVID-19 pandemic brought about significant alterations in various aspects of society, yet its impact on the leisure time physical activity (LTPA) of older adults still needs to be explored. Existing research points to substantial transformations in recreational and sports environments due to the pandemic. This study aims to bridge this gap by conducting ethnographic fieldwork spanning 17 months, delving into how Iranian older adults adapted their LTPA during this crisis. Data were gathered through immersive field experiences, detailed field notes, and opportunistic interviews. The findings reveal two primary shifts in the LTPA of older adults: (1) Disruption of social interactions within physical activities and (2) Psychological uncertainty and perplexity. In response, older adults have employed two coping mechanisms to navigate these changes. This research underscores the importance of policymakers reevaluating their approaches and devising strategies to support the continuity of LTPA, especially in exceptional circumstances like 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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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 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".