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Record W7145210028

Towards a Noncompliant Pedagogy of the Image: Reading Negentropic Bifurcatory Potentials in Video Images Urban Film-Making

2021· article· en· W7145210028 on OpenAlexaboutno aff
Masayuki Iwase, Joff P. N. Bradley

Bibliographic record

VenueInstitutional Repositories DataBase (IRDB) · 2021
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)PerceptionPresentation (obstetrics)Focus (optics)InterruptWork (physics)PhotographyEmpathy
DOInot available

Abstract

fetched live from OpenAlex

The authors explore the noncompliant pedagogy of the image based on their video Autopoietic Veering: Schizo Socius of Tokyo and Vancouver (2021). It is not the kind of trendy modelized video abstract or kinetic presentation eagerly promoted by international publishers; it is a cross-cultural collaborative work intended to generate affirmative temporal ruptures of entropic habitual modes of seeing, memorizing, and thinking of human and nonhuman life in the cities of Tokyo (Japan) and Vancouver (Canada). The authors elucidate Stiegler's (2015b) concept of a "global mnemotechnical system"that stores and produces human memories in vast digital archives and databases (tertiary retentions) through "mnemonic control"(Parisi & Goodman, 2011). The authors repurpose video images to interrupt and recontrol human perception and memories as "living engines"(Lazzarato, 2006). They foreground the philosophical work of Deleuze, Heidegger, and Virilio to rethink and revive the creative act of "critique"(Foucault, 1997) through "metamodelization"(Guattari, 1995; Manning, 2020); therefore, they plug these apparently incommensurable modes of thinking into their readings of the video's images. They read the images as "time-images"and focus on their five dimensions that possibly activate "spiritual automation"(Deleuze, 1989), which they assess as "negentropic bifurcatory"potentials (Bradley & Kennedy, 2019).

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.740

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.280
Teacher spread0.263 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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