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Record W650739587

(In)visible Generations: Anarchist Technologies and Embodied Resistance

2012· article· en· W650739587 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2012
Typearticle
Languageen
FieldComputer Science
TopicBioethics and Human Rights Issues
Canadian institutionsnot available
Fundersnot available
KeywordsEmbodied cognitionResistance (ecology)Computer scienceArtificial intelligenceBiology
DOInot available

Abstract

fetched live from OpenAlex

This project investigates the employment of new media technologies toward anarchistic revolutionary purposes in three postmodern texts: Williams S. Burroughs’s Nova Trilogy, Thomas Pynchon’s Vineland, and Grant Morrison’s The Invisibles. Spanning over three decades, these texts examine the continuous need for anarchist organizations to develop new and generative practices of resistant tactics against authoritarian hegemonic forces in order to remain relevant. This thesis explores how media technologies are used by these anarchist groups in order to break both the body and technology out of instrumentalizing purposes by apparatuses of control. In developing new embodiments that exist beyond the categorizations of power and authority, these authors demonstrate ways in which anarchist organizations are able to subvert the increasingly networked machinations of control and create potential embodied sites of resistance outside the realm of domination.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.812
Threshold uncertainty score0.952

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 communication0.0000.001
Open science0.0000.000
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 head0.008
GPT teacher head0.171
Teacher spread0.163 · 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