Bibliographic record
Abstract
Pakistan has been a priority country for international development assistance since the early years of its creation. Though Pakistan celebrates National Women’s Day on 12 February each year to commemorate the 1983 women’s march, three decades of war in neighbouring Afghanistan have stoked violent extremism and constrained development gains and gender equality. Canada led the first global efforts to support women’s rights and gender equality in the region. The Twelfth of February tells the story of the Canadian International Development Agency’s support for women’s organizations and civil society in Pakistan. Rhonda Gossen traces the ebbs and flows of financial aid, drawing on her own unique experience as a development worker as well as compelling interviews with activists, non-governmental organizations, officials, and diplomats. She assesses how women’s organizations work to resist violent extremism and makes the connection between gender inequality and security threats in a volatile region. Despite the influence of Islamic extremism, the gender equality movement in collaboration with civil society in Pakistan did make tangible headway. The Twelfth of February addresses a problem that is all too timely: given violent extremism’s devastating impact on development gains including women’s rights, security , and the elimination of gender-based violence, what is the future role for international development?
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.152 | 0.059 |
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".