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Record W7071852504

Trokosi tradition : navigating through traditional practices, gender, human rights, and reproductive rights in Ghana

2023· article· en· W7071852504 on OpenAlexaff

Bibliographic record

VenueSaint Mary's University Institutional Repository (Saint Mary's University) · 2023
Typearticle
Languageen
FieldMedicine
TopicFemale Genital Mutilation/Cutting Issues
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsHuman rightsGovernment (linguistics)Reproductive rightsLegislationWork (physics)
DOInot available

Abstract

fetched live from OpenAlex

The trokosi practice is an ancient traditional system that involves the selection of a young female by her family to serve in a shrine as a form of atonement for crimes committed by another family member.This tradition exemplifies the entrenched patriarchal control that characterizes traditional rural societies in Ghana.The trokosi practice has sparked a contentious debate between proponents of Ghana's human rights framework and those advocating for cultural rights.This study draws upon feminist perspectives to examine the gendered power dynamics, human rights violations, and patriarchal control inherent in the Trokosi tradition.It employs a narrative analysis in its methodology to amplify the voices of the young females affected by this practice and contributes to feminist scholarship by providing nuanced insights into the complexities of cultural practices, power dynamics, legal frameworks, and women's agency in the context of the Trokosi tradition.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.011
Scholarly communication0.0020.003
Open science0.0000.002
Research integrity0.0010.001
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 head0.047
GPT teacher head0.260
Teacher spread0.213 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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