Transformative Memory: Ways of Being Together in the Afterlives of Political Violence
Bibliographic record
Abstract
ABSTRACT As a global collective of artists, activists and scholars, the Transformative Memory International Network explores memory as a transformative force attentive to the complexities of power and justice regimes, and to the tensions, exclusions and silences that enter the historical record and institutionally curated representations of political violence. We embrace methodologies of relational, embodied and emplaced knowledge exchanges and foster spaces of creativity such as artistic, affective and experimental approaches to knowledge generation. Reflecting on the memory labours of and knowledge exchanges between members, we interrogate how these works activate transformative possibilities. As a force, memory is a living and persistent insistence of life where life is denied. As a forcefield, memory is a way of persevering, regathering and refashioning a sense of self, relationships to others and political action, anticipating other ways of being together.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.012 | 0.048 |
| Scholarly communication | 0.016 | 0.015 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 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".