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
The purpose of this article is to explore the idea that the gender of constituency party presidents makes a difference in the recruitment of women as candidates in federal politics in Canada, notably by examining the attitudes of female and male party gatekeepers towards the presence of women in politics. Two hypotheses inspired us. The first suggests that female presidents are more likely than male presidents to assess candidates using traits more likely to be possessed by women. The second hypothesis proposes that women are more likely than men to support measures for increasing the number of women in politics. The first hypothesis is not confirmed: female presidents do not appreciate feminine traits any more than male presidents. The second is only partly confirmed. Far from being the only variable to influence support for measures promoting women candidates, gender appears to be a secondary determinant when the variables of political party and the feminist consciousness are taken into account. Nevertheless, it would be a mistake to neglect the gender variable because, depending on the political party, a woman president can make a difference, especially when it comes to the Right and Centre parties.
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 | 0.000 | 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 | 0.000 |
| 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