Empowering Seniors for Quality Life (ESQ)
Bibliographic record
Abstract
Background: With a mission to create a better quality of life through health and social support amongst disadvantaged populations, the Health & Social Research Centre (HSRC) Inc. started working with seniors with a goal to empower them for a quality life. Considering the high need for social services and programming HSRC implemented a one-year project ‘Empowering Seniors for Quality Life’ in the NW region of Calgary, funded by the Federal Government of Canada. Approach: The project focused on empowering 25 seniors with digital literacy and edu-entertainment sessions. Volunteerism was the key approach. Needs and interests of the seniors were identified by conducting a need- assessment and were addressed through education and entertainment sessions on diverse topics of their interests. Results: An evaluation was conducted focusing on four thematic areas; digital literacy, sense of belonging, socialization, and health education. Seniors dove into understanding the digital world and improved their skills with the support of program volunteers. Seniors felt a sense of belonging and purpose in life where often they felt forgotten. They shared their enthusiasm for the edu-entertainment sessions where they have made new friends. Even though language was a barrier, seniors were able to communicate through actions and a new language of understanding. They enjoyed learning on diverse topics and entertainment sessions. Conclusion: There are continued high motivations from seniors to participate in programming that encourages engagement, learning and social interactions by creating a safe space. ESQ has successfully provided a platform for the seniors who often find services inaccessible.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".