Chilean Muralism in Exile: On Solidarity and Transnational Memory
Bibliographic record
Abstract
Fifty years after the coup d`état in Chile, cities such as Amsterdam, Frankfurt, Leeds, Milan, Belgrade, Los Angeles, and Chicago, still display traces of Chilean exile on the walls of cultural centres, universities, theatres and other buildings. These are the remains of hundreds of murals, painted by brigades created by Chileans in exile to encourage their host countries to show solidarity with their resistance to the Pinochet dictatorship. The complex experience of Chilean exile and its long-lasting and intergenerational repercussions have only slowly been integrated into research and memory practices. This article examines three case studies of Chilean murals in exile as atypical forms of testimonial sources, with the aim of gaining insights into the multi-layered network of actors behind them, in particular into the testimonies of Chilean exiles and actors of international solidarity. It also explores the memorial dimensions of postephemeral murals and how these can function as carriers of a collective, transnational memory of Chilean exile.
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.017 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.002 | 0.003 |
| 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".