Could the aging workforce reduce the agency penalty for female leaders? Re-examining the think manager–think male stereotype
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
Abstract Older workers make up a substantial portion of today’s labor force. Yet little is known about the beliefs held by this age group. Our study offers some much needed insights into intersectionality around this group, by investigating how older workers’ perceptions of supervisors performing a gendered leadership behavior are impacted by a supervisors’ sex, age, and gendered attributes. The results show that these supervisors are perceived most favorably when they possess communal qualities and/or when they are depicted as being older than their direct reports. Our results also reveal that, when these supervisors are not perceived as communal, male but not female supervisors, experience a backlash. Within this context, young female leaders appear to be at an advantage when compared with young male leaders. This study advances the literature on the ‘think manager–think male’ stereotype and has the practical benefit of offering insights into leader-follower interactions in today’s aging workplace.
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.
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 | 0.004 | 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 | 0.003 | 0.000 |
| 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