Evidence map›Paper›PMID 39569067›Full record

ArticleFrontiers in sociology2024

Masculinities in a feminist pedagogy: lessons for transformative gender and agriculture training.

Amon Ashaba Mwiine, Margaret Najjingo Mangheni, Elizabeth Asiimwe, Martha Businge, Fred Shimali, Losira Nasirumbi Sanya

Abstract read
In one paragraph

Article in Frontiers in sociology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amon Ashaba MwiineSchool of Women and Gender Studies, Makerere University, Kampala, Uganda.
Margaret Najjingo MangheniDepartment of Extension and Innovation Studies, Makerere University, Kampala, Uganda.
Elizabeth AsiimweDepartment of Extension and Innovation Studies, Makerere University, Kampala, Uganda.
Martha BusingeDepartment of Extension and Innovation Studies, Makerere University, Kampala, Uganda.
Fred ShimaliDepartment of Extension and Innovation Studies, Makerere University, Kampala, Uganda.
Losira Nasirumbi SanyaDepartment of Extension and Innovation Studies, Makerere University, Kampala, Uganda.

Funding

Gates Foundation INV-004985
6 · The paper itself

Abstract

Masculinities and femininities are closely interconnected with men and women farmers' everyday lives; hence critical reflection on these interconnections should be central in gender training in agriculture. While a focus on men and masculinities is crucial for sustainable transformation of deep-rooted gender norms and practices that limit the attainment of gender equality, there are insufficient empirically tested pedagogical models for this purpose. We share a case study, the Gender Responsive Researchers Equipped for Agricultural Transformation (GREAT) model, which incorporates masculinities in a feminist pedagogy. We use external monitoring, evaluation, and learning data for two case study courses that integrate gender in plant breeding, seed systems, and agronomy to demonstrate the efficacy of integrating the concept of masculinity and reflections on male farmers' expectations, behaviors, and practices within a feminist approach to gender training. We conclude that feminist pedagogical practices offer insights into how gender training can integrate a masculinities perspective to move beyond divisive and narrow gender polarities towards addressing masculine norms that often hinder the attainment of gender transformation.

Indexed as

agriculturegender analysisgender traininggender transformationmasculinities

Identifiers

PMID39569067
PMCPMC11576420

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.