Access to knowledge and the Global Abortion Policies Database
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
Research shows that women, healthcare providers, and even policy makers worldwide have limited or inaccurate knowledge of the abortion law and policies in their country. These knowledge gaps sometimes stem from the vague and broad terms of the law, which breed uncertainty and even conflict when unaccompanied by accessible regulation or guidelines. Inconsistency across national law and policy further impedes safe and evidence-based practice. This lack of transparency creates a crisis of accountability. Those seeking care cannot know their legal entitlements, service providers cannot practice with legal protection, and governments can escape legal responsibility for the adverse effects of their laws. This is the context for the newly launched Global Abortion Policies Database-an open-access repository that seeks to promote transparency and state accountability by providing clear and comprehensive information about national laws, policies, health standards, and guidelines, and by creating the capacity for comparative analysis and cross-referencing to health indicators, WHO recommendations, and human rights standards.
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.
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 | 0.008 |
| 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