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Record W172780086

Reading Video Film and Narrative Commerce in West Africa

2011· article· en· W172780086 on OpenAlexvenueno aff
Moradewun Adejunmobi

Bibliographic record

VenueCanadian review of comparative literature · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Games and Media
Canadian institutionsnot available
Fundersnot available
KeywordsReading (process)NarrativeYorubaLiteracyFace (sociological concept)PopulationHistoryMedia studiesSociologyVisual artsLiteraturePolitical scienceArtLinguisticsSocial scienceLawPedagogy
DOInot available

Abstract

fetched live from OpenAlex

In some segments of the urban West African population today, fictional narratives created locally are more likely to be watched on video film rather than read in a book or listened to on radio. Tunde Kelani, considered one of the most successful video film directors in Nigeria, and who has adapted the works of at least one Yoruba-language author to video film, reveals his awareness of this trend in the following statement: We found that our people are no more interested in reading, and by so doing, we are missing the great values and virtues embedded in the works of great writers... (Abiola 14). Lower literacy rates alone do not account for the apparent lack of interest in literature. 1 In the wake of structural adjustment programs pursued in many countries, the accumulation of wealth and access to leisure time is not as clearly tied to advanced education and a personal investment in reading. African publishers also face considerable challenges in making noncommercial fiction available to local audiences. In many instances, the secular non-commercial fiction book is both unavailable and unaffordable. 2

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.962
Threshold uncertainty score0.917

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.046
GPT teacher head0.312
Teacher spread0.266 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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