Women Politicians and Parliamentary Elections in Ukraine and Georgia in 2012
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
<p class="EW-abstract"><strong>Abstract:</strong> Post-communist countries undergoing social transformations in the last twenty years needed to implement political and economic reforms. Changes also had to support the principles of equality in the access to power, specifically gender quotas in executive and legislative branches of government and within political parties. The events in Ukraine and Georgia in 2004-2005 known as the “colour revolutions” gave impulse to the promotion of equality and implementation of reforms. However, the number of women participating in national politics in both countries remains low. This paper proposes an analysis of gender equality principles during the parliamentary election campaigns in Ukraine and Georgia in 2012 from the perspective of women’s participation in politics and their self-representation as politicians. This empirical study covers public attitudes towards women in politics and examines networks of female parliamentarians. The findings raise hopes for better representation of women in politics as female politicians promote them from the top down, and mass public perception of gender equality principles set the ground for bottom-up activism. <strong></strong></p><p class="EW-Keyword">Keywords: Gender Equality, Women Politicians, Public Attitudes, Social Network Analysis (SNA)</p>
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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 | 0.000 | 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