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Record W4210654669 · doi:10.5206/tba.v2i1.10698

Alone in Sci-Fi: The Impossibility of Oneness in Blade Runner 2049 and Empire of the Senseless

2020· article· en· W4210654669 on OpenAlexaffvenue
Yasmina Jaksic

Bibliographic record

Venuetba Journal of Art Media and Visual Culture · 2020
Typearticle
Languageen
FieldComputer Science
TopicDigital Media and Philosophy
Canadian institutionsYork University
FundersStrong
KeywordsEmpireDiasporaAutonomyImpossibilityNarrativeConsciousnessPower (physics)SociologyAestheticsLiteraturePhilosophyHistoryEpistemologyPolitical scienceArtLawGender studiesAncient historyPhysics

Abstract

fetched live from OpenAlex

As McLuhan prophesized, the new mediums of electric and communicative technology are no longer separate from the human body and have become rather an extension of body and a reflection of contemporary overloaded minds. Anxieties about technological autonomy steadily increase as artificial intelligences strive towards singularity as the boundaries between human and nonhuman become increasingly indistinguishable. Interestingly however, in Denis Villeneuve’s Blade Runner 2049 (2017) and Kathy Acker’s Empire of the Senseless (1988), it is not the fear of technological singularity that fuels the narratives, but rather a fear of insurmountable governmental power that utilizes technology to come into direct and unmediated contact with life—further splintering and thus shattering attempts at community building.
 
 Yasmina Jaksic is an English PhD candidate at York University. Her doctoral research focuses on contemporary Asian-Anglophone Cultures and Literatures of diaspora and double-consciousness. 

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)0.005
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0160.076
Scholarly communication0.0120.017
Open science0.0010.008
Research integrity0.0030.009
Insufficient payload (model declined to judge)0.0040.001

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 head0.021
GPT teacher head0.264
Teacher spread0.243 · 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 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
Published2020
Admission routes2
Has abstractyes

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