Bibliographic record
Abstract
What is the experience of truth and reconciliation? What is the purpose of a truth commission? What lessons can be learned from established truth and reconciliation processes? Flowers in the Wall explores the experience of truth and reconciliation Southeast Asia and the Southwest Pacific, with and without a formal truth commission. Although much has been written about the operational phases of truth commissions, the efforts to establish these commissions and the struggle to put their recommendations into effect are often overlooked. Examining both the pre- and post-truth commission phases, this volume explores a diversity of interconnected scholarship with each chapter forming part of a concise narrative. Well-researched and balanced, this book explores the effectiveness of the truth commission as transnational justice, highlighting its limitations and offering valuable lessons Canadians, and all others, facing similar issues of truth and reconciliation. With Contributions By: Sarah Zwierzchowski, Geoffrey Robinson, Pat Walsh, Jacqueline Aquino Siapno, Laurentina “mica” Barreto Soares, Jess Augustin, Fernanda Borges, Maria Manuela Leong, Baskara Wardaya, Bernd, Gatot Lestario, Lia Kent, Rizki Amalia Affiat, Arianto Sangadji, Jenny Munro, Todd Biderman, Julian Smythe, Terry M. Brown, Edmund McWilliams, Betty Lina Gigisi, and Maggie Helwig.
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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 | 0.000 |
| 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 | 0.001 |
| 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".