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
Previous studies of the effects of transitional justice measures on post-conflict societies, specifically the longevity of emerging peace, have reached different conclusions, owing in part to whether they are large-n or small-n studies. We propose an alternative methodological approach, Qualitative Comparative Analysis (QCA), to address the controversy. QCA allows researchers to harness the qualitative depth of case studies, yet also facilitates broad cross-national comparison. Using the Post-Conflict Justice dataset, we show how QCA reveals several pathways societies can take to enduring peace. These depend on characteristics of the preceding conflict, differences in the post-conflict conditions, and the transitional justice measures implemented. This complexity- orientated approach shows that restorative and retributive justice measures, as well as amnesties, can have positive effects on post- conflict peace, although these effects are different depending on the conflict situations and the varying context conditions.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.016 | 0.004 |
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