Bibliographic record
Abstract
This article departs from an intermedial theatre production and an acousmatic sound performance. In these productions the use of audio and video technology was central to mediate a manifold of perspectives on societal challenges concerning migration and xenophobia. The multi-channel radiophonic composition Karlskrona/Malmö (2017), revolved around the fictional murder of a left-wing activist. The performance was produced at the same time as several notable violent right-wing hate crimes took place in Sweden. Quite a few detention centres were set on fire in different places in Sweden, in Kärrtorp, a suburb of Stockholm, alt-right activists attacked a peaceful demonstration, and in Malmö, a well-known activist was beaten down by neo-Nazis. Our other example, Arrival Cities: Malmö (2013), was inspired by the book Arrival City (2010) by the Canadian journalist Doug Saunders which described the cities that have become ports for the people who have migrated. According to Saunders, these cities are places of loneliness and misery but at the same time dynamic focal points for the transformation of most of humanity from rural to urban citizens. The performance combined theatre with chamber- and electro-acoustic music and portrayed the migrant situation in Sweden a few years before the migrant wave hit Europe in 2015 and many countries closed their borders.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.006 |
| Scholarly communication | 0.020 | 0.011 |
| Open science | 0.002 | 0.012 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.260 | 0.175 |
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".