Community Development and Older Men’s Programming: An International Case Study
Bibliographic record
Abstract
A growing body of research points to men’s groups as a benefit to communities because of their volunteerism and community-based programming. Spaces for older and retired men’s continued participation are provided including meaningful initiatives through these community resources. Little research, however, has explored groups for older men from a community development perspective. The purpose of this article is to describe a case study using Photovoice methodology with two men’s groups from Canada and two from Australia. We discuss men’s group participants’ perceptions of their groups’ contributions to the well-being of its members and the broader community, from a community development approach using photos as a key part of the study. Findings revealed older men’s volunteerism towards events and maintenance of community parks and museums, as well as mentorship activities, contributed to the well-being of a range of community members, while fostering a sense of accomplishment, friendship, and other benefits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".