Gender Is Not a Proxy: Race and Intersectionality in Legislative Recruitment
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 Election to office is shaped by a series of decisions made by prospective candidates, parties, and voters. These choices determine who emerges and is ultimately selected to run, and each decision point either expands or limits the possibilities for more diverse representation. Studies of women candidates have established an important theoretical and empirical basis for understanding legislative recruitment. This study asks how these patterns differ when race and intersectionality are integrated into the analyses. Focusing on more than 800 political aspirants in Canada, I show that although white and racialized women aspire to political office at roughly the same rates, their experiences diverge at the point of party selection. White men remain the preferred candidates, and parties’ efforts to diversify politics have mostly benefited white women. I argue that a greater emphasis on the electoral trajectories of racialized women and men is needed.
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 | 0.001 | 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 | 0.001 | 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) | 0.001 | 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