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Record W6989304930

Anna and the Tower : Solo Exhibition, Toronto International Film Festival

2015· other· en· W6989304930 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Hertfordshire Research Archive (University of Hertfordshire) · 2015
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)TowerCinematographyExhibitionGermanRoller coasterShot (pellet)CityscapeWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

"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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.044
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.009
Scholarly communication0.0000.001
Open science0.0030.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0150.000

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.

Opus teacher head0.028
GPT teacher head0.270
Teacher spread0.242 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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