Ubwiyunge Mubikorwa (reconciliation in action): Development and Field Piloting of Action-Based Psychosocial Reconciliation Approach in post-Gacaca Rwanda
Bibliographic record
Abstract
Reconciliation is a “hazy” construct that calls for further systematic understanding efforts. The purpose of the present study was to illuminate and understand authentic and idiographic processes of interpersonal reconciliation between survivors and perpetrators of the 1994 Genocide against the Tutsi in Rwanda. An original interpersonal reconciliation approach termed action-based psychosocial reconciliation approach (ABPRA) was developed and implemented in two remote villages of Rwanda. Lived experiences of reconciliation dyads (consisting of survivors and their direct perpetrators) who participated in ABPRA were collected employing a postsession, semistructured interview. Thematic content analysis of the data revealed five major themes representing the beneficial impacts of ABPRA. This paper introduces an overview of ABPRA and reports the results from the field pilot study. The reporting features a collection of participant reported narratives highlighting the beneficial effects of ABPRA on their healing and reconciliation process. The paper concludes with the implications of the study to enhance further efforts to support the interpersonal reconciliation process in Rwanda.
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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 | 0.014 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".