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Record W4242985824 · doi:10.1353/dss.2016.0005

Back to the Future

2016· article· en· W4242985824 on OpenAlexaboutno aff
Siddhartha Deb

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.

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)0.002
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 score0.045
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.009
Scholarly communication0.0100.009
Open science0.0000.004
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0450.010

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

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

Citations0
Published2016
Admission routes1
Has abstractyes

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