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Record W3123155412 · doi:10.1177/1527476403253971

Revisiting the Y2K Bug

2003· article· en· W3123155412 on OpenAlexaff
Kirsty Best

Bibliographic record

VenueTelevision & New Media · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsYork University
Fundersnot available
KeywordsVariety (cybernetics)HegemonyValue (mathematics)Subject (documents)Meaning (existential)Event (particle physics)SociologyMedia studiesHistoryPoliticsPolitical scienceEpistemologyComputer scienceLawWorld Wide Web

Abstract

fetched live from OpenAlex

The Y2K bug was a global media event of the twentieth century, only to fade from view after an anticlimactic change of millennium. This article argues that a reexamination of the text of the Y2K bug illuminates the contemporary cultural construction of value in information and networking technologies. Through the examination of a broad range of media reports and articles, this article illustrates how a hegemonic discourse is creating scales of value that have a profound impact on resource allocation. However, the Y2K bug also illustrates how this discourse is subject to its own gaps in meaning, or internal dissociations, as well as to a variety of creative external attacks, including culture jamming.

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)0.005
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.045

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0060.020
Scholarly communication0.0110.012
Open science0.0010.005
Research integrity0.0040.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.335
Teacher spread0.284 · 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 designObservational
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

Citations5
Published2003
Admission routes1
Has abstractyes

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