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Record W4392699555 · doi:10.1177/10778012241238239

Economic Abuse of Women in Intimate Relationships in Ghana: Consequences and Coping Strategies

2024· article· en· W4392699555 on OpenAlexafffund
Jessica D. Boateng, Eric Y. Tenkorang, Paul Alhassan Issahaku

Bibliographic record

VenueViolence Against Women · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicIntimate Partner and Family Violence
Canadian institutionsMemorial University of Newfoundland
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsDomestic violenceCoping (psychology)Suicide preventionPoison controlOccupational safety and healthInjury preventionEconomic securityPhysical abuseHuman factors and ergonomicsPsychologyMedicineEnvironmental healthPsychiatrySocioeconomicsEconomic growthSociologyEconomics

Abstract

fetched live from OpenAlex

Economic abuse is a significant gender-based problem in Ghana and sub-Saharan Africa, but few studies explore the consequences of this type of abuse on women's lives and their coping strategies. This study examined the narratives of 16 Ghanaian women in intimate relationships who experienced economic abuse in the Greater Accra, Ashanti, and Upper East regions of Ghana. Results indicate economic abuse negatively affected female survivors' jobs, businesses, and food security and led to physical violence and adverse health implications. Some women coped by relying on external family networks, religion, and theft from husbands, while others trivialized their experiences.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.325
Threshold uncertainty score0.528

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.307
Teacher spread0.282 · 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 teacher head, 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

Citations5
Published2024
Admission routes2
Has abstractyes

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