Cultivated Collaboration in Transitional Justice Practice and Research: Reflections on Tunisia’s Voices of Memory Project
Bibliographic record
Abstract
ABSTRACT∞ The Voices of Memory project started with a fairly simple premise: to highlight women’s life experiences under dictatorship. What started as a one-week workshop in 2017 evolved into a collaborative process of co-creation – the Voices of Memory project – using creative means of expression to help raise awareness of the impact of repression on Tunisian women. A formative principle, and primary contribution of this project, was a fully collaborative methodology. In this article, we reflect on and make explicit an approach we adopted intuitively and experimentally, drawing also on best practice in participatory action research and methods of co-creation.
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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 | 0.024 | 0.021 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.052 | 0.037 |
| Scholarly communication | 0.015 | 0.011 |
| Open science | 0.003 | 0.026 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.006 | 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".