In Pursuit of Women’s Representation: A Pragmatic Approach to Improving Women’s Representation in Canadian Politics
Bibliographic record
Abstract
This essay addresses the democratic deficit in women's representation in Canadian politics that hinders the access of all citizens in Canada to free, equal, and meaningful opportunities to engage in all levels of political affairs. In doing so, a number of socio-cultural and structural barriers to women's participation in federal politics are identified. In turn, strategies to overcome these barriers are presented while making effort to tackle the conditions underlying women’s misrepresentation, as opposed to promoting explicitly compulsory solutions such as affirmative action legislation. The purpose of my research is to guide Canadian policy structures and social standards toward a new paradigm in Canadian politics where women are liberated from having to face the tension between the implications of their status as the 'other' and their desire to meaningfully contribute to the political affairs of the Canadian state.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.034 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.065 | 0.040 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.006 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".