Access to Justice in Rural Communities: Global Perspectives
Bibliographic record
Abstract
This book offers insight on access to justice from rural areas in internationally comparable contexts to highlight the diversity of experiences within, and across rural areas globally. It looks at the fundamental questions for people's lives raised by the issue of access to justice as well as the rule of law. It highlights a range of social, geographic and cultural issues which impact the way rural communities experience the justice system throughout the world with chapters on Australia, Canada, England, Ireland, Kenya, Northern Ireland, South Africa, Syria, Turkey, the USA and Wales. Each chapter explores three questions: 1. How do people experience the institutions of justice in rural areas and how does this rural experience differ to an urban experience? 2. What impact have changes in policy had on the justice system in rural areas, and have rural and urban areas been affected in different ways? 3. What impact does the law have on people's lives in rural areas and what would rural communities like to be better understood about their experience of the justice system? By bringing in the voices and experiences of those who are often ignored or side-lined by justice systems, this book will set out an agenda for ensuring social justice in legal systems with a focus on protecting marginalised groups.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.009 | 0.007 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".