Organizational Age Scale: New Lenses to Assess the Ageing of Workers
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
Few studies have focused on the aging process within the specific context of organizations (Thomas et al., 2014), due to a lack of adequate measures to assess who is an older worker and on what basis do we define such a worker. This paper introduces such a measure, namely the Organizational Age Scale (OAS) comprised of subjective age-related indicators stemming from the work context (Sterns & Doverspike, 1989; McCarthy et al., 2014; Kooij et al., 2008). More specifically, the OAS measures the individual’s perception of his-her own aging as a worker along five dimensions: obsolescence, age norms, career stage, time remaining in the workplace and opportunities for professional development. Such a tool helps identifies workers at risk of embodying negative age-based stereotypes and thus may counter the negative consequences that can result from self-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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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