Rural Women's Leadership in Atlantic Canada: Firsthand Perspectives on Local Public Life and Participation in Electoral Politics
Bibliographic record
Abstract
Rural Women's Leadership in Atlantic Canada: Firsthand Perspectives on Local Public Life and Participation in Electoral Politics, Louise Carbert, Toronto: University of Toronto Press, 2006, pp. 177, index. In her latest work, Louise Carbert peers beneath the surface of formal electoral processes to explore how rural, female community leaders in Atlantic Canada view politics. She focuses on this group to explain a curious pattern: rural women are much less likely to secure public office than women located in urban areas, and this holds true at all three levels of government. Through interviewing women representing the typical recruitment pool from which political parties draw candidates, the author aims to identify the presence of barriers to female electoral participation specifically salient to rural women. This is no easy task in part because such an objective necessitates sifting through the inconsequential details of grassroots politics to locate and interpret underlying patterns of power. Carbert's approach is innovative and provocative, and many scholars will appreciate this work's inductive method and rich anecdotal basis. At the same time, readers scouting for clear answers may be left frustrated by the work's complex set of conclusions concerning exactly why few rural women successfully navigate the “slushy intersections” of politics, family life and the economic environment in pursuit of a political career.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.043 | 0.014 |
| Scholarly communication | 0.008 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".