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Record W4379798052 · doi:10.32920/ifmj.v3i1.1674

Messy Knowledge-Making with Korsakow

2023· article· en· W4379798052 on OpenAlexvenueno aff
Vanessa Zallot

Bibliographic record

VenueInteractive Film and Media Journal · 2023
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsFilmmakingMaking-ofSociologyEthnographyVisual artsArtManagement

Abstract

fetched live from OpenAlex

This paper explores interactive documentary production's power dynamics and knowledge-making practices through the ethnographic case study of Christoph, a white media scientist and trained film editor from a Western European country. Christoph's research project, conducted as part of an international and multidisciplinary team, dealt with discourses surrounding a specific restitution case in an African country. The study focuses on Christoph's use of the Korsakow software to create an interactive documentary, examining the complexities he encountered in the field and his efforts to represent them in a powercritical manner. Throughout the production process, Christoph attempted to address power relations by making himself visible in the documentary and ensuring that his authorial influence remained minimal during the film's assembly. He employed a two-fold strategy that included acquiring shaky footage without a tripod and utilizing materials that might be deemed unusable in traditional production environments. Christoph's use of Korsakow as a tool for assembling his interactive documentary served to represent the complexities he found in the field. Despite Christoph's powercritical aspirations, he acknowledged the potential bias inherent in the keywording process, stressing the importance of actively pursuing powercritique as a practice. Korsakow, as an interactive and nonlinear tool, offered an experimental environment in which Christoph could explore alternative ways of filmmaking and knowledge-making. This environment facilitated the development of open, complex, and messy practices, challenging conventional filmmaking norms. This case study raises questions about the knowledge-making practices found in interactive documentaries and how they can inform visual research methodologies. Further research may delve into the methodological implications of these findings and the potential for interactive documentary software to serve as a laboratory for experimental filmmaking practices. By examining Christoph's use of Korsakow and his efforts to navigate power dynamics in creating an interactive documentary, this paper contributes to the broader understanding of knowledge-making in non-linear and interactive film environments.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.007
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0110.020
Scholarly communication0.0100.009
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.034
GPT teacher head0.269
Teacher spread0.235 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations1
Published2023
Admission routes1
Has abstractyes

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