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Record W3165549709 · doi:10.1186/s40066-021-00286-w

Deconstructing leisure time and workload: case of women bean producers in Kenya

2021· article· en· W3165549709 on OpenAlexfundno aff
Eileen Bogweh Nchanji, Mercy Mutua, Collins Odhiambo, Yvonne Kiki Nchanji, David Karanja

Bibliographic record

VenueAgriculture & Food Security · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicTourism, Volunteerism, and Development
Canadian institutionsnot available
FundersConsortium of International Agricultural Research CentersAustralian Centre for International Agricultural ResearchInternational Development Research Centre
KeywordsEmpowermentPovertyKenyaAgricultureSocioeconomicsWork (physics)WorkloadFocus groupEconomic growthSociologyPolitical scienceBusinessGeographyEconomicsEngineeringMarketingManagement

Abstract

fetched live from OpenAlex

Abstract Background The notion of leisure became pronounced more than 20 years ago when women who worked on or out of the farm came home to a “second shift,” which entailed domestic work and childcare. This gap continues today not only between men and women but also among women and men. Women's challenges in terms of their leisure arise out of or are shaped by social norms and different life contexts. Method The Women's Empowerment in Agriculture Index (WEAI) was conducted to understand women's empowerment and disempowerment status in agricultural activities in five counties in Kenya in 2017. In 2019, focus group discussions were carried out in two of the five counties to understand how men and women farmers define leisure and assess the leisure gap and its effect on women's farm and household activities. We were also interested in understanding how men's and women's workload affects leisure and other productive economic activities, resulting in empowerment and how women’s unpaid work contributes to income poverty. Result The WEAI showed that 28% of disempowerment (5DE) in women farmers is due to lack of time for leisure activities and 18% from being overworked. This means that the time indicator accounts for 46% of disempowerment in Kenyan women bean farmers. Men in Bomet and Narok spent more time than women in raising large livestock and leisure. Women in Bomet spent more time than men in cooking and domestic work (fetching water and collecting fuelwood), while men in Bomet spent more time than women in managing their businesses. Conclusion Work overload is a constraining factor to women's empowerment in bean production and agricultural productivity. What is considered leisure for men and women is embedded in society’s social fabrics, and it is contextual. This paper highlights instances where leisure provides a way for women to embody and/or resist the discourses of gender roles in the bean value chain and households to enhance food security and health.

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 score0.050
Threshold uncertainty score0.099

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.006
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.002
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 head0.008
GPT teacher head0.235
Teacher spread0.227 · 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

Citations15
Published2021
Admission routes1
Has abstractyes

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