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
Many legislative recruitment scholars seek to explain why women, visible minorities and other social groups are underrepresented in the world’s legislatures. Researchers in this area often use a supply and demand metaphor to frame their work, but cannot agree whether underrepresentation is mainly a supply- or demand-side problem. With an eye to moving this debate forward, this article offers a new approach to operationalizing supply and demand and shows how reverse-flow diagnostic testing, supply-first analysis and an improved testing regime can pinpoint when and why underrepresentation begins to occur in any political system. The new diagnostic approach is applied to data from a provincial election in British Columbia, Canada. The article uses the new diagnostic and BC case to demonstrate how underrepresentation in any political system is attributable to demand-side discrimination by gatekeepers and not an undersupply of political aspirants from any particular social group.
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) | 0.000 | 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