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Record W2136761407 · doi:10.5195/cinej.2014.111

Bicycles, Airplanes and Peter Pans: Flying Scenes in Steven Spielberg's Films

2014· article· en· W2136761407 on OpenAlexaboutno aff
Emilio Audissino

Bibliographic record

VenueCINEJ Cinema Journal · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicGothic Literature and Media Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)Movie theaterArt historyArtWorld War IICharacter (mathematics)HistoryArchaeologyComputer science

Abstract

fetched live from OpenAlex

In Steven Spielberg's cinema the flight is a recurring theme. Flying scenes can be sorted into two classes: those involving a realistic flight – by aircraft – and those involving a magical flight – by supernatural powers. The realistic flight is influenced by the war stories of Spielberg's father – a radio man in U.S. Air-force during WWII – and it is featured in such films as Empire of the Sun (1987), Always (1989), and 1941 (1979). The magical flight is influenced by James M. Barries' character Peter Pan (Peter and Wendy, 1911), which is quoted directly in E.T. the Extraterrestrial (1982) and, above all, in Hook (1991), which is a sequel to Barrie's story. These two types of flying scenes are analysed as to their meanings, compared to the models that influenced them, and surveyed as to their evolution across Spielberg's films. A central case study is the episode The Mission from Amazing Stories (1985), in which the realistic and the magical flights overlap.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.639
Threshold uncertainty score0.400

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.011
GPT teacher head0.273
Teacher spread0.262 · 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 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

Citations1
Published2014
Admission routes1
Has abstractyes

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