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Record W7084315851

Undoing Networks

2021· other· en· W7084315851 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

VenueMultilingual Matters (Channel View Publications) · 2021
Typeother
Languageen
FieldComputer Science
TopicImage Processing and 3D Reconstruction
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUndoingDisconnectionPoliticsCitizen journalismWork (physics)GovernmentalityNarrativePrivilege (computing)
DOInot available

Abstract

fetched live from OpenAlex

Exploring and conceptualizing practices, technologies, and politics of disconnecting<br/><br/>How do we think beyond the dominant images and imaginaries of connectivity? Undoing Networks enables a different connectivity: "digital detox" is a luxury for stressed urbanites wishing to lead a mindful life. Self-help books advocate "digital minimalism" to recover authentic experiences of the offline. Artists envision a world without the internet. Activists mobilize against the expansion of the 5G network.<br/><br/>If connectivity brought us virtual communities, information superhighways, and participatory culture, disconnection comes with privacy tools, Faraday shields, and figures of the shy. This book explores nonusage and the "right to disconnect" from work and from the excessive demands of digital capitalism.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.723
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
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 head0.020
GPT teacher head0.273
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