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Record W2806169290 · doi:10.1111/var.12156

Disturbance, Translation, Enculturation: Necessary Research in New Media, Technology, and the Senses

2018· article· en· W2806169290 on OpenAlexfundno aff
C. J. Salter

Bibliographic record

VenueVisual Anthropology Review · 2018
Typearticle
Languageen
FieldComputer Science
TopicInnovative Human-Technology Interaction
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsNexus (standard)OppressionSociologyEnculturationIndigenousSet (abstract data type)AestheticsPoliticsPolitical sciencePedagogyComputer scienceArt

Abstract

fetched live from OpenAlex

This article examines a research program centered at the nexus of five seemingly unrelated fields: art practice with new technologies, anthropology, cultural studies of technology, the development of new technologies that seek to make new forms of sensation, and Indigenous new media studies. First, I articulate a broader area of interdisciplinary research called sensory studies. Subsequently, and switching to the pronoun “we,” I briefly describe the aims of Sensory Entanglements: a collaborative research program that asks how different bodies and cultures can transform/resist dominant paradigms of power and oppression through the senses. Finally, I conclude with a broader set of questions around the increased role the senses are playing in the organization of new modes of political‐socio‐technical reason.

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)0.010
metaresearch head score (Gemma)0.017
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 score0.012
Threshold uncertainty score0.054

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.004
Science and technology studies0.0050.053
Scholarly communication0.0120.025
Open science0.0010.006
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.102
GPT teacher head0.438
Teacher spread0.336 · 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

Citations9
Published2018
Admission routes1
Has abstractyes

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