Alberta Centre for Active Living
Bibliographic record
Abstract
Aging is universal, but the meaningfulness of growing old is variable, impacted by demographics, national economic resources, and society’s expectations, or lack thereof—for the elderly. (Julia Tavares Alvarez, Reflections on an Agequake, United Nations, 1999) The Active Living Coalition for Older Adults (ALCOA) envisions a society where all older adults are leading active lives and thus contributing to their health and overall well-being. ALCOA’s programs have always had components that have countered ageism. In 1999 ALCOA published a framework for developing policy and programs aimed at promoting active living for older adults called Moving Through the Years: A Blueprint for Action for Active Living for Older Adults. The Blueprint countered ageism by recognizing the need for: · Gaining a more accurate perspective of older adults ’ capabilities and developing more positive attitudes toward aging; · Involving seniors in planning and decision-making around active living programs; · Exploring the needs and interests of older adults with respect to physical activity and designing programs accordingly; and · Providing more inclusive active living opportunities that accommodate intergenerational
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.610 | 0.234 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".