MétaCan
Menu
Back to cohort
Record W4404523796 · doi:10.1515/jcfs-2024-0003

Towards a Techno-Hauntological Aesthetic: Immiscible Time and the Spiritual Imagination in <i>Bodyless</i> (Shishenji, 2019) by Huang Hsin-Chien

2024· article· en· W4404523796 on OpenAlexfundno aff
Gabriel Rémy-Handfield

Bibliographic record

VenueJournal of Chinese Film Studies · 2024
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBLISSDreamInterpretation (philosophy)AestheticsIllusionSoulVirtual realityArtPoliticsSpace (punctuation)Key (lock)Reading (process)Visual artsSociologyPsychologyComputer sciencePhilosophyLawCognitive psychologyArtificial intelligenceEpistemologyPolitical sciencePsychotherapist

Abstract

fetched live from OpenAlex

Abstract This article discusses and explores acclaimed new media artist Huang Hsin-Chien’s virtual reality (VR) experience Bodyless (Shishenji, 2019). In this film, through the process of the body illusion or the body replacement program, a component specific to VR, viewers embody the soul of a political prisoner deceased during Taiwan’s martial law era. Bodyless juxtaposes Taiwan’s traditional spiritual traditions with references to the Ghost Festival (中元節) and includes a dystopic vision of the future that appears towards the end of the film. This article establishes, through a close reading of several key sequences of the film, the emergence of a techno-hauntological aesthetic. It creates a dialogue between Huang’s dream-like imagery and various interpretation of Bliss Cua Lim’s concepts of immiscible time and heterogeneous space. How does Bodyless visually enact, perform, and develop a techno-hauntological aesthetic? How does the artist explore philosophical concepts related to memory, time, and space by using VR?

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)0.001
metaresearch head score (Gemma)0.001
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 score0.005
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.023
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.260
Teacher spread0.247 · 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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Chinese Film StudiesSame topicCinema and Media StudiesFrench-language works237,207