Developing a conceptual measurement framework for measuring access to justice in post-conflict settings
Bibliographic record
Abstract
Access to justice has been recognized as an essential component of peace, sustainable development and conflict resolution. The international community acknowledged this significance with the 2015 adoption of the United Nations 2030 Agenda for Sustainable Development and, in particular, Sustainable Development Goal 16- Peace, Justice, and Strong Institutions. Due to the many distinctive characteristics of post-conflict settings, attempting to measure access to justice in post-conflict environments remains challenging. In order to develop a conceptual measurement framework for use in post-conflict situations, this qualitative study reviews and analyzes the literature on access to justice, existing measurement tools designed to measure the concept, and data gathered through consultations with 10 subject matter experts in San Jose, Costa Rica. The resulting conceptual measurement framework accounts for the unique and varied ways that access to justice is experienced in post-conflict environments and suggests feasible options for implementation in the field.
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How this classification was reachedexpand
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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".