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Record W2067254418 · doi:10.1163/17087384-12342019

An Appraisal of the Night Masquerade Festival and Discrimination against Women in Nigeria from an International Human Rights Law Perspective

2013· article· en· W2067254418 on OpenAlexaffvenue
Demola Okeowo

Bibliographic record

VenueAfrican Journal of Legal Studies · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsHuman rightsLawYorubaEconomic JusticeSociologyConsciencePerspective (graphical)Gender studiesPolitical scienceArt

Abstract

fetched live from OpenAlex

Abstract The Night Masquerade is one of several cultural practices that are well rooted within the Yoruba people in the south-western part of Nigeria. The masquerade is believed to be an adult male member of the society. This person traditionally walks about the town nakedly in the company of numerous other adult male members of the society, performing rituals and appeasing the gods. Generally, women are forbidden from viewing this masquerade and any woman who violates this rule shall be put to death to appease the gods. Over the years, this cultural practice has generated heated arguments and concern, especially from human rights activists and feminists. The paper will argue that any cultural practice that promotes discrimination on the basis of sex and that in fact leads to unnecessary restriction of movement and wanton loss of lives is repugnant to natural justice, equity and good conscience.

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)0.003
metaresearch head score (Gemma)0.004
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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0150.010
Scholarly communication0.0090.003
Open science0.0010.003
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0060.000

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 head0.026
GPT teacher head0.365
Teacher spread0.339 · 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

Citations3
Published2013
Admission routes2
Has abstractyes

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