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Record W2326823854 · doi:10.1386/jptv.3.1.3_1

From classical Greece to science fiction: Heroic aesthetics and the popularity of the Eagle pilot Alan Carter in Space: 1999

2015· article· en· W2326823854 on OpenAlexaff
Marie‐Pierre Bussières

Bibliographic record

VenueThe Journal of Popular Television · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicContemporary and Historical Greek Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsHEROBeautyCharacter (mathematics)RealmArtAestheticsSpace (punctuation)Ideal (ethics)RomanceLiteratureArt historyPhilosophyHistoryEpistemology

Abstract

fetched live from OpenAlex

Abstract This article analyses the success of a support character in comparison to the stars in the 1970s television series Space: 1999 (1975–1977), in light of the permeation of Greek classical aesthetic codes in on-screen representation of heroes. Although the name of the actor impersonating the chief Eagle pilot Alan Carter was not even in the opening credits of the show and his character, like most support characters of Space: 1999, had but a few lines per episode, this series won actor Nick Tate international attention and his character quickly became among the favourites of the show, especially in the realm of science fiction fandom. While he is in the frame without actually doing any action, Carter oftentimes adopts a posture known as contrapposto, a pose characteristic of the idealized heroic body. This pose had been deliberately used in the early days of Hollywood to enhance the cultic status of some stars, and because of its cultural identification with a heroic type and its erotic potential, Carter was recognized as a hero more than the rest of the support characters on the show. Moreover, Carter’s persona in the scripts is that of an engaging, faithful, trustworthy fellow, which completes the picture of the ideal of manliness in Greek philosophy, that of spiritual goodness (agathon) reflected in physical beauty (kallos), placing Carter among the most popular characters with the audience of Space: 1999.

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 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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.599
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.049
GPT teacher head0.305
Teacher spread0.257 · 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 teacher head, 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

Citations0
Published2015
Admission routes1
Has abstractyes

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