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Beyond Hollywood Formulas: Evolvıng Indigenous Yoruba Film Aesthetics

2011· article· en· W1790250425 on OpenAlexvenueno aff
Abiodun Olayiwola

Bibliographic record

VenueCross-cultural communication · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsHollywoodIndigenizationYorubaIndigenousFilm industryArtMovie theaterHumanitiesEthnologySociologyVisual artsArt historyAnthropologyPhilosophyLinguistics

Abstract

fetched live from OpenAlex

Home video scholarship is an emerging aspect of theatre studies in Nigeria. While previous studies have been merely critical of Nigerian film practitioners’ inability to evolve an indigenous form, they have failed in prescribing necessary strategies for achieving this. This study, therefore, fills this gap by proposing devices for evolving an indigenous meta-language for the Nigerian film industry. It concludes, amongst others, that Nigerian film industry should evolve an indigenous film language through a fusion of traditional story telling forms and conventional film codes. Key words : Film; Indigenization; Yoruba video film; Aesthetics Resume: La bourse du Home video est un aspect emergent des etudes theatrales au Nigeria. Les etudes precedentes ont ete simplement des critiques de l'incapacite des praticiens du cinema nigerian d’elaborer une forme indigene, et elles ont echoue dans la prescription des strategies necessaires pour atteindre cet objectif. Cette etude, par contre, comble cette lacune en proposant des dispositifs pour une evolution de metalangage indigene pour l'industrie cinematographique nigerienne. Il conclut, entre autres, que l'industrie cinematographique nigerienne devrait trouver un langage cinematographique autochtone via une fusion entre les formes de recit d'histoire traditionnellse et des codes cinematographiques conventionnels. Mots-cles: Film; Indigenisation; Film Video En Yoruba; Esthetiques

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.055
GPT teacher head0.286
Teacher spread0.230 · 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.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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