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Record W2117190086 · doi:10.1109/hicss.1998.651688

The evolution of cybergenres

2002· article· en· W2117190086 on OpenAlexaff
Michael Shepherd, Carolyn Watters

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPsychology
TopicCreativity in Education and Neuroscience
Canadian institutionsAcadia UniversityDalhousie University
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

The combination of the computer and the Internet has resulted in the emergence of cybergenre, a new class of genre. Cybergenre can be characterized by the triple, where functionality refers to the capabilities afforded by this new medium. When an existing genre initially migrates to this new medium, it is usually as a faithful reproduction of the existing genre in both content and form with little new functionality. It may then evolve into a variant cybergenre as it incorporates functionality afforded by the computer and Internet. Cybergenres also include novel genres, either not based on previously existing genres or substantially different from existing genres on the basis of increased functionality. These novel genres may have either persistent or virtual instantiations. This paper proposes a taxonomy of these cybergenres and examines the evolution of the news cybergenre and the mathematics dictionary cybergenre within the context of this taxonomy.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.011
Threshold uncertainty score0.034

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.004
Science and technology studies0.0040.013
Scholarly communication0.0110.011
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.043
GPT teacher head0.339
Teacher spread0.297 · 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

Citations173
Published2002
Admission routes1
Has abstractyes

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