Anna and the Tower : Solo Exhibition, Toronto International Film Festival
Bibliographic record
Abstract
"Anna and the Tower" is a co-commision with the Toronto International Film Festival and the Goethe Institute for exhibition as part of the 2014 International Festival. "Anna and the Tower" is a fable of isolation and imaginative affect. Conflating documentary and performance, it stages an encounter with Anna, a young air traffic controller, during her working hours in the air traffic control tower at Magdeburg-Cochstedt International. The video is filmed on location in the tower of this refurbished airport, newly opened in 2010. Dating from 1957, the airport is a former soviet airbase located in the middle of the Eastern German countryside. Although it is now a fully operational and technologically updated airport, there are very rarely any scheduled flights. The airport and tower lie quiet and still awaiting air traffic, speculating on an economy to come at some point in the near future. The work can be read as a meditation on the former ‘west’ in the European context and aspiring economic experiments in the former ‘east’. In the absence of any real air traffic to control, Anna’s ‘speech acts’ point to a desire to ‘will’ events into being. The video suspends ordinary time through models of projection and prediction, setting productive forces into motion with the desire to shape reality. Her persistence speaks to this anticipation for an optimistic futurity that may or may not arrive.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.018 | 0.004 |
| Scholarly communication | 0.007 | 0.001 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.051 | 0.007 |
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".