Narcissistic Women and Cash-Strapped Men: Who Can Be Encouraged to Consider Running for Political Office, and Who Should Do the Encouraging?
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
This paper not only considers whether encouragement can be an effective tool for increasing political ambition, but it also asks whether the source of that encouragement matters. That is, are some sources of encouragement more credible and effective than others? In addition, it explores the profiles of those individuals who are most likely to be receptive to recruitment, accounting for factors such as age, gender, income, education, political interest, knowledge, and personality. To answer these questions, we conducted two studies. The first is a survey of eligible voters. We recruited 371 Canadians from a national panel, asking a variety of questions regarding their level of political ambition. Importantly, we uncover distinct profiles for men and women who are most likely to respond positively to encouragement. In the second study, we conducted an online experiment with 443 undergraduate university students. Here, we focus on the question of who is providing the encouragement as we manipulated the gender of the actor providing the encouragement to run for office. We find that women who are encouraged by a male party recruiter are significantly less likely to express interest in a political career than those in our gender-neutral control condition.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.001 | 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