(Dis)Connecting Through COVID-19: Experiences of Older Persons in the Context of a Volunteer–Client Relationship
Bibliographic record
Abstract
The coronavirus (COVID-19) pandemic and mandated physical distancing requirements significantly impacted volunteer programs for older persons with many long-standing programs either ceasing altogether or pivoting to connecting through virtual technologies. In this study, we collected qualitative interview data from 23 clients and 33 volunteers to investigate their experiences during the COVID-19 pandemic and the effects on the volunteer-client relationship. Three themes were identified: pandemic emotions, negotiating social interactions, and growing through the COVID-19 pandemic. These findings provide important insights into the experiences of hospice organizations and their volunteers and clients during the COVID 19 pandemic, further highlighting the importance of acknowledging both older persons' vulnerability and their resilience, of building in compassionate community approaches to care, and of finding innovative ways to foster volunteer-client relationships during times when physical visiting is not possible.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.008 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.003 |
| 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".