VOLUNTEERING AMONG OLDER ADULTS AND EFFECTS OF ETHNIC MINORITY IDENTITY BEFORE AND DURING COVID-19
Bibliographic record
Abstract
Abstract The ongoing COVID-19 pandemic has presented numerous challenges to older adults in Canada, including the ability to engage in volunteer work. This situation has created a new volunteer landscape in which common predictors of volunteering may have shifted. The purpose of this study is to improve understanding of the current social context surrounding volunteering in Canada, by a) determining changes in the associations between human, social, and cultural capital variables and volunteering among older adults and b) examining the potential relationship between ethnic minority background and volunteering among older adults, using data from the Canadian Longitudinal Study on Aging (CLSA), collected prior to and during the pandemic. This study utilized data from 24,306 participants (aged 55+) who participated in the CLSA Baseline, Follow-up 1 and the COVID-19 Study Baseline surveys. Results confirm a decrease in volunteering among CLSA participants during the early stages of the pandemic. When compared to pre-pandemic associations, volunteers during the early stages of the pandemic were more likely to be young-old (55-64), male, employed, and not involved in religious activities. Findings provide evidence of pandemic effects on volunteering among older adults in Canada.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".