MétaCan
Menu
Back to cohort
Record W2715262694

Onitsha Market Literature: An Accepted Literary Subgenre or Fossilized Specie? A Formalist Approach to Ogali Ogali’s Veronica My Daughter

2017· article· en· W2715262694 on OpenAlexvenueno aff
Mbanefo S. Ogene

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLexicography and Language Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLiterary criticismLiterary theoryLiterary scienceSociologyLiteratureWestern literatureDaughterHistoryEpistemologyPhilosophyLawPolitical scienceArt
DOInot available

Abstract

fetched live from OpenAlex

For years now literary exponents have faced the challenges and problems of establishing the true facts of genre studies and its various dimensions in literary theory and practice. This problem was in time past discussed from various perspectives in different places and periods. The case of Onitsha Market Literature and its attendant problems have often challenged critics over the years. As a subgenre of literature from a peculiar geographical location in West Africa, the usual question is if this literature qualifies as an acceptable and universally standard literature. Can a market based literature make a good and complete literature? What is the actual book length required to make a literary work complete? Is there any official language that qualifies a literary work as a standard or completely accepted literature? These are some of the questions that this paper answered. The study examined this specie of Onitsha Market literary subgenre and made a number of discoveries and a conclusion, pointing to the fact that Onitsha Market Literature is a literature of circumstance and situation.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.010
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.003
Science and technology studies0.0060.021
Scholarly communication0.0100.007
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0040.000

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 head0.054
GPT teacher head0.331
Teacher spread0.277 · 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 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueStudies in literature and languageSame topicLexicography and Language StudiesFrench-language works237,207