Overlooked and Underestimated: Experiences of Ageism in Young, Middle-Aged, and Older Adults
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
OBJECTIVES: Although the prevalence of ageism against older people has been well-established, less is known about the characteristics of those experiences or the experiences of young and middle-aged adults. The present study addressed these gaps by examining young, middle-aged, and older adults' self-reports of an ageist action they experienced. METHODS: Participants' descriptions were coded for the domain in which the ageist experience occurred, the perpetrator of the ageist experience, and the type of ageist experience. RESULTS: Young adults most commonly reported experiencing ageism in the workplace with coworkers as perpetrators. Middle-aged and older adults also reported ageism in the workplace; however, they also frequently reported experiencing ageism while seeking goods and services. Perpetrators of ageism varied more widely for middle-aged and older adults. Regardless of one's age, ageism was commonly experienced in the form of a lack of respect or incorrect assumptions. DISCUSSION: The findings enhance our understanding of ageism across adulthood by considering the domains, perpetrators, and types of ageist expressions that adults of all ages encounter. They also suggest that interventions to reduce age bias will require multifaceted approaches that take into account the different forms that individuals experience across the life span.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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