Towards a Noncompliant Pedagogy of the Image: Reading Negentropic Bifurcatory Potentials in Video Images
Bibliographic record
Abstract
Abstract 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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.002 | 0.016 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".