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Record W4281484131 · doi:10.32920/ifmj.v2i2.1585

Korsakow Film Workshop

2022· article· en· W4281484131 on OpenAlexvenueno aff
Florian Thalhofer, Anna Wiehl

Bibliographic record

VenueInteractive Film and Media Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMultimedia Communication and Technology
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingPerspective (graphical)Computer scienceFocus (optics)CompositingProcess (computing)PolyphonyDimension (graph theory)Human–computer interactionPremiseMultimediaVisual artsEpistemologySociologyArtificial intelligenceArtMovie theaterMathematics

Abstract

fetched live from OpenAlex

Based on the premise that Korsakow configurations are not merely another form of interactive film, we will explore the entanglement of the epistemological and ontological dimension of this unorthodox manifestation of digital media practices based on database logic and opaque algorithmic editing. This workshop explores non-linear thinking, co-creative, polyphonic filmmaking and pluri-perspective self-reflection to those interested in pushing further the boundaries of linear filmmaking. The goal of this workshop is to re-think processes of interactive filmmaking as well as notions of interactive tools in their ‘toolness,’ and methods concerning their applicability as lenses through which we reflect on the work of others and our work. Though we will collaboratively create an interactive Korsakow film, the focus of this workshop primarily lies in the process rather than a product. No prior knowledge nor specific technical skills are required as one of the core realizations will be that these practices can be integrated into vernacular life. The only digital device participants will need is their smartphone for shooting the clips.

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)0.001
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.791
Threshold uncertainty score0.991

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0100.000

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 head0.032
GPT teacher head0.344
Teacher spread0.312 · 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
GenreEmpirical

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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