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Record W2971076229 · doi:10.15353/kinema.vi.1046

Racial Issues and Star Trek's Deep Space Nine

2003· article· en· W2971076229 on OpenAlexvenueno aff
Joss Winn

Bibliographic record

VenueKinema A Journal for Film and Audiovisual Media · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicMedia Studies and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsStar trekStar (game theory)OffensivePopular cultureMedia studiesKISS (TNC)Space (punctuation)Television seriesEntertainmentMulticulturalismPopularitySpace AgeSociologyPolitical scienceLawEngineeringComputer science

Abstract

fetched live from OpenAlex

HIGHLY OFFENSIVE FERENGI: RACIAL ISSUES AND STAR TREK'S MULTICULTURAL DEEP SPACE NINE STAR TREK: DEEP SPACE NINE is the third official Star Trek series based on the ideas of the late Gene Roddenberry. The popularity of the Star Trek series has earned them an honoured place in America's popular culture.(1) Likewise, scholarly attention to Star Trek points to its importance to the study of media culture.(2) Star Trek, even before its broadcast of television's first interracial kiss, has always had two missions. The first, its entertainment mission as part of the television industry, is the well known: "Its five year mission is to explore strange new worlds, to seek out new life and new civilizations, to boldly go where no man [sic] has gone before."(3) Deep Space Nine's creators, Berman and Pillar, state the second is the less publicly articulated mission of addressing matters of socio-cultural...

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score0.138

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0250.007
Scholarly communication0.0060.003
Open science0.0010.004
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0120.001

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 head0.031
GPT teacher head0.352
Teacher spread0.321 · 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 designNot applicable
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

Citations1
Published2003
Admission routes1
Has abstractyes

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Same venueKinema A Journal for Film and Audiovisual MediaSame topicMedia Studies and CommunicationFrench-language works237,207