“YOU MUST BE LISTENED TO”: FACILITATORS FOR BABY BOOMERS’ SOCIAL PARTICIPATION IN CANADA AND SPAIN
Bibliographic record
Abstract
Abstract In Quebec (Canada) and Spain in 2021, the baby boomers represented more than a quarter (26%) of the population. To better support a shift in healthcare and social services, this cohort requires a reassessment of their social participation, a key determinant of healthy and active aging. Despite their committement to participation, little knowledge about what influence the social participation of this generation. This presentation aims to report results of two qualitative studies exploring the facilitators for social participation in the old age of the baby boom generation. These two studies were both carried out in Spain and Quebec with 53 individual and 12 group interviews, involving a total of 107 baby boomers and 52 community representatives. Perceived facilitators were related to: a) accessibility (welcoming environment, physical and emotional proximity, virtual to overcome transportation difficulties); b) availability (flexible participation without high commitment, from a critical viewpoint towards the responsibility of cares); c) positive image (being recognized, required and respected in intergenerational settings); d) socioeconomic and health status (low cost of activities, adaptation to limitations focusing on what you can still do); and e) motivation (feeling useful, helping others and impacting on the society, deciding freely according to their values, but questioning productive ageing models). The challenges associated with supporting attractive forms and opportunities of participation adapted to the needs of this new generation were also highlighted. Responding to these challenges implies creating spaces for interactive exchanges between the baby boomers and key social agents, with real translation in health promotion policies.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.004 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".