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Record W4324356259 · doi:10.47611/jsrhs.v11i3.2988

“From the West, Clouds come hurrying with the wind” - Caribbean & African feminism: Trends Examined

2022· article· en· W4324356259 on OpenAlexaff
Rachelle Armstrong, Emmah Wabuke

Bibliographic record

VenueJournal of Student Research · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicCaribbean history, culture, and politics
Canadian institutionsCampion College
Fundersnot available
KeywordsGender studiesFeminismPrivilege (computing)ColonialismHuman sexualitySociologySubject (documents)PoliticsIdentity (music)MultitudePolitical scienceLawAesthetics

Abstract

fetched live from OpenAlex

To describe Caribbean and African feminism as interwoven is an understatement. Their correlation is irrefutable, sharing commonalities across concepts of gender and sexuality, labour, and feminist organization. Both feminisms share the distinctive characteristic of being in constant flux, being especially influenced by the colonial structures that continue to pervade our society today. As a result of colonialism, the gender identity and sexuality of the Caribbean and African female subject have been subject to regulation and policing, in order to ensure that the recipients of patriarchal privilege are made explicit. Likewise, attempts have also been made to control the Caribbean and African entrepreneurial community. The space these women have created for themselves in order to escape the racialised and genderised barriers associated with formal labour, is being constantly devalued through the implication that this space is in need of legitimisation. Over time, these feminisms have grown to centre a multitude of social, economic and political concerns. The contributions they have made to society however, are under constant threat of erasure.

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)0.002
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 score0.096
Threshold uncertainty score0.191

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.007
Science and technology studies0.0040.002
Scholarly communication0.0040.003
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0140.001

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 head0.162
GPT teacher head0.422
Teacher spread0.260 · 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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Student ResearchSame topicCaribbean history, culture, and politicsFrench-language works237,207