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Record W7082419941

White Shadow

2022· other· en· W7082419941 on OpenAlexaboutno aff

Bibliographic record

VenueGoldsmiths (University of London) · 2022
Typeother
Languageen
FieldComputer Science
TopicGeochemistry and Geologic Mapping
Canadian institutionsnot available
Fundersnot available
KeywordsShadow (psychology)White (mutation)Competition (biology)Movie theaterAssociation (psychology)
DOInot available

Abstract

fetched live from OpenAlex

"White Shadow" is a speculative fiction in which all the world’s photographs have suddenly turned into the objects they represent. The video depicts a vertiginous architecture, so devastating that it created new uncontrollable borders and isolated people. Piles of selfies, cats, and meals are scattered everywhere. Text messages evoke a new society living with limitations and suffering from media saturation, sensory overload, and crushing ecological impact. A world where images have taken over, invading and transforming space. They become the only reality that is still visible, as the whole world is turning inwards. Winner of THIS IS SHORT, The European Short Film Network (ESFN). ESNF is a close association of the following festivals: Go Short (NL), Short Film Festival Oberhausen (DE), Vienna Shorts (AT) and Short Waves (PL). Winner of the Swiss Competition at Videoex Experimental Film & Video Festival, Zürich (CH) Best Short Film, Montréal International Festival of Films on Art, FIFA (CA)

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.027
Threshold uncertainty score0.974

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0270.000

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 head0.007
GPT teacher head0.165
Teacher spread0.158 · 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
Published2022
Admission routes1
Has abstractyes

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