Abortion Law Reforms in Colombia and Nicaragua: Issue Networks and Opportunity Contexts
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
This article analyses two instances of abortion law reform in Latin America. In 2006, after a decades-long impasse, the highly controversial issue of abortion came to dominate the political agenda when Colombia liberalized its abortion law and Nicaragua adopted a total ban on abortion. The article analyses the central actors in the reform processes, their strategies and the opportunity contexts. Drawing on Htun's (2003) framework, it examines why these processes concluded with opposing legislative outcomes. The authors argue for the need to understand the state as a non-unitary site of politics and policy, and for judicial processes to be seen as a key variable in facilitating gender policy reforms in Latin America. In addition, they argue that ‘windows of opportunity’ such as the timing of elections can be critically important in legislative change processes.
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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 | 0.000 | 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