Strategies for Updating Social Participation Services: The Case of Baby Boomers in Quebec and Spain
Bibliographic record
Abstract
Abstract Services designed to promote social participation as a key factor in healthy aging are struggling to meet the expectations of a large generation of older adults, the baby boomer, which in 2021 represented more than a quarter (26%) of the population in both Quebec (Canada) and Spain. Despite the challenge of adapting services to the participation needs of this cohort, little is known about the strategies and changes required to make these services attractive to them. This presentation aims to report results of two qualitative studies exploring the strategies to update services aimed to promote social participation of baby boomer generation. These two studies were both developed in Spain and Quebec with 53 individuals and 12 group interviews, involving a total of 107 baby boomers and 52 community representatives. Three strategies were identified: 1) the consideration of intragenerational diversity from an intersectional perspective, according to criteria such as life trajectories, autonomy levels, identity factors, and daily environment; 2) the organization of services and participation beyond the age criterion, i.e., by interests, needs, common values in which a real interaction between generations is favored; 3) the promotion of services flexible where baby boomers have control over their time, i.e., services friendly to conciliation (caring for oneself, others, continuing professional life, etc.). The services will respond to meaningful participation for members of this generation according to the willingness of decision-makers and service designers to implement these strategies. Enhancing these services leads to greater motivation to participate and responsible use of community resources.
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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 | 0.004 | 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 | 0.013 | 0.004 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".