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Record W3119019292 · doi:10.1145/3432941

Piracy and the Impaired Cyborg

2021· article· en· W3119019292 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueProceedings of the ACM on Human-Computer Interaction · 2021
Typearticle
Languageen
FieldComputer Science
TopicICT in Developing Communities
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutonomyMetaphorModalitiesIndependence (probability theory)Through-the-lens meteringSoftwareAssistive technologyControl (management)Power (physics)SociologyInternet privacyLens (geology)PsychologyPolitical scienceEngineeringHuman–computer interactionComputer scienceLawArtificial intelligenceSocial science

Abstract

fetched live from OpenAlex

This paper examines software piracy in the Global South from an accessibility lens, using the bio-technical metaphor of the 'cyborg.' Drawing on qualitative interviews with people with visual impairment (VI) from India and Peru, the paper interrogates the intimate relationships that users have with assistive technologies (ATs). It outlines the effectiveness of ATs in allowing users to actively control and shape their own lives and identities, and describes the various modalities that regulate the human body, technology, and human body-technology linkages. The paper argues that software piracy, when looked through the lens of the 'cyborg,' is an act of self-making that is motivated by a desire to gain autonomy and independence, i.e., it can be understood as a way to overcome the barriers that undermine access to the technological self. Further, software piracy allows a shift in the distribution of power from those who control and regulate the assistive technologies to the cyborgs themselves.

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: Empirical
Teacher disagreement score0.406
Threshold uncertainty score0.569

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 science0.0030.004
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 head0.051
GPT teacher head0.303
Teacher spread0.253 · 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