Ageism and the Older Worker: A Scoping Review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE OF THE STUDY: Given the policy shifts toward extended work lives, it is critically important to address barriers that older workers may face in attaining and maintaining satisfactory work. This article presents a scoping review of research addressing ageism and its implications for the employment experiences and opportunities of older workers. DESIGN AND METHODS: The five-step scoping review process outlined by Arksey and O'Malley was followed. The data set included 43 research articles. RESULTS: The majority of articles were cross-sectional quantitative surveys, and various types of study participants (older workers, human resource personnel/manager, employers, younger workers, undergraduate students) were included. Four main themes, representing key research emphases, were identified: stereotypes and perceptions of older workers; intended behavior toward older workers; reported behavior toward older workers; and older workers' negotiation of ageism. IMPLICATIONS: Existing research provides a foundational evidence base for the existence of ageist stereotypes and perceptions about older workers and has begun to demonstrate implications in relation to intended behaviors and, to a lesser extent, actual behaviors toward older workers. A few studies have explored how aging workers attempt to negotiate ageism. Further research that extends beyond cross-sectional surveys is required to achieve more complex understandings of the implications of ageism and inform policies and practices that work against ageism.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it