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Record W2599267009 · doi:10.17742/image.vos.7-2.4

The Performance of the Austin Indie Scene in Slacker: From the Body of a Scene to the Body of a Generation

2017· article· fr· W2599267009 on OpenAlexvenueno aff
Maria Teresa Soldani

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2017
Typearticle
Languagefr
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
Fundersnot available
KeywordsIndie filmArtComputer graphics (images)Visual artsComputer visionCartographyArt historyComputer scienceArtificial intelligenceGeography

Abstract

fetched live from OpenAlex

Abstract | Slacker (1991) by Richard Linklater is considered a milestone in American independent cinema (King). The film is entirely shot on location in Austin, Texas, mainly in the area of the Drag. Its 24-hour narration of city life has specific features: a script conceived as a “Roadmap,” with no main characters or turning points; members of the scene and film crew as non-professional actors; and local Austin music. This article explores Slacker’s unique representation of the local indie scene and how its collective performance became emblematic of a generational phenomenon, thus shifting the culture discourse’s emphasis from space (Austin) to time (Generation X).Résumé | Slacker (1991) de Richard Linklater est considéré comme un jalon d’une importance clé dans le cinéma indépendant américain (King, 2005). Le film en entier a été tourné à Austin au Texas, principalement dans le voisinage de la Drag. La narration de 24 heures de la vie urbaine possède des caractéristiques particulières : un scénario conçu comme une « feuille de route », sans personnages principaux ou moments charnières; des membres de l’équipe de mise en scène et de tournage comme acteurs non professionnels; de la musique d’Austin. Cet article explore la représentation unique de Slacker de la scène indépendante locale et de quelle façon sa performance collective est devenue emblématique d’un phénomène générationnel, en mettant l’accent non plus sur l’espace (Austin), mais sur le temps (Génération X).

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0070.005
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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 head0.073
GPT teacher head0.413
Teacher spread0.340 · 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 designQualitative
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
Published2017
Admission routes1
Has abstractyes

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