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Record W4242985824 · doi:10.1353/dss.2016.0005

Back to the Future

2016· article· en· W4242985824 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueDissent · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsDistrustCyberspaceNarrativeExhibitionMedia studiesPopularityThe InternetSociologyHistoryArt historyLawPolitical scienceLiteratureArtWorld Wide WebComputer science

Abstract

fetched live from OpenAlex

An American who has lived in Vancouver, Canada since the 1960s, William Gibson is a one-man brand for speculative fiction, a sort of Steve Jobs of prose narrative, the man who—as a note in a recent MoMA exhibition put it— is “credited with having coined the term ‘cyberspace,’ and having envisioned both the Internet and virtual reality before either existed.” Gibson’s recent collection of essays, Distrust That Particular Flavor, shows him writing on the future for Wired, Time, Rolling Stone, Forbes, and the Whole Earth Catalog, and addressing audiences at the annual BookExpo America in New York and the Director’s Guild in Los Angeles. Taken together, all of this makes his latest novel, The Peripheral, appear as much the expression of an entire culture as a book written by a single person, a vision of the future that comes to us with the stamp of approval of the West’s most powerful cultural arbiters.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.881
Threshold uncertainty score0.999

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 communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.002

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 head0.012
GPT teacher head0.289
Teacher spread0.277 · 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