Facilitating Age-Conscious Student Development through Lecture-Based Courses on Aging
Bibliographic record
Abstract
Ageism is pervasive and socially normalized, and population aging has created a need to understand how views of aging and of older people, typically considered to be people over the age of 65, can be improved. This study sought to understand how undergraduate students' attitudes towards older adults and the aging process may be influenced after completing a typical, lecture-based undergraduate course on aging that lacked service-learning components. Two undergraduate student cohorts (n = 40) at two Canadian universities participated in semi-structured focus groups/interviews, describing how the course may have impacted their perceptions of the aging process and of older adults. An iterative collaborative qualitative analysis demonstrated that course content stimulated a deeper understanding of the aging process, prompting a reduction in and increased awareness of ageism, and enhanced personal connection with aging, ultimately facilitating the development of an age-conscious student. Lecture-based courses focused on aging may be sufficient to facilitate positive attitude change among undergraduate students towards older adults and the aging process.
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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 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".