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Women’s and Gender Studies in Africa

2022· book-chapter· en· W4307697265 on OpenAlexaff
Nakanyike B. Musisi

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldSocial Sciences
TopicAfrican Sexualities and LGBTQ+ Issues
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsScholarshipHistoriographyAmateurGender studiesPhenomenonSociologySocial sciencePolitical scienceEpistemologyLawPhilosophy

Abstract

fetched live from OpenAlex

Abstract The lives of women and men in Africa historically attracted the attention of observers and were documented by some early travelers, merchants, missionaries, amateur anthropologists, and colonialists. But systematic women’s and gender studies is a late 20th-century phenomenon. By reviewing and situating women’s and gender studies in Africa within shifts in the social sciences and humanities, this chapter seeks to answer five broad questions. First, under what conditions did African women’s and gender studies emerge on the African continent? Second, what is its historiography? Third, what key suppositions have underlain its methodological and theoretical approaches to defending specific epistemic positions? Fourth, what have the relationships between its knowledge producers and gender-based activism been? And lastly, what has its significance been? It is argued that in nearly five decades of existence, women’s and gender scholarship has had a far-reaching impact on several social science and humanities disciplines.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.007
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0080.000

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 head0.149
GPT teacher head0.294
Teacher spread0.145 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

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