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Record W2179438948 · doi:10.1080/0966369x.2015.1090407

‘ <i>Gender</i> hates men’: untangling gender and development discourses in food security fieldwork in urban Malawi

2015· article· en· W2179438948 on OpenAlexafffund
Liam Riley, Belinda Dodson

Bibliographic record

VenueGender Place & Culture · 2015
Typearticle
Languageen
FieldHealth Professions
TopicHomelessness and Social Issues
Canadian institutionsWilfrid Laurier UniversityBalsillie School of International AffairsWestern University
FundersUniversity of South AfricaSocial Sciences and Humanities Research Council of CanadaUniversity of CambridgeInternational Development Research Centre
KeywordsGender studiesSociologyHuman rightsDouble burdenFocus groupGender and developmentFraming (construction)Social changePolitical scienceSocial transformationGeography

Abstract

fetched live from OpenAlex

This article examines the social construction and contestation of gender and gender roles in the city of Blantyre in Malawi. In fieldwork on gendered household roles related to food security, interviews with men and women revealed a distinct set of connotations with the word gender, which reflected Malawians’ historical and contemporary engagement with concepts of development, modernity, and human rights. We denote the Malawian concept of gender as gender in order to distinguish the word participants used in interviews from the more widely accepted conventional definition. We then use this distinction to highlight the ways in which ideas of gender equality have been introduced and received in the Malawian context. The urban setting of the research is key to drawing out the association of gender with Westernization, bringing into focus the power dynamics inherent in the project of translating global discourses of gender rights and gender equality into meaningful social change in developing countries. Gender in Malawi denotes a top-down (and outside-in) process of framing Malawi’s goals for gender equality. This creates political constraints both in the form of resistance to gender, because it resonates with a long history of social change imposed by outside forces, and in the form of superficial adherence to gender to appear more urban and modern, especially to a Western researcher. Local understandings of gender as gender undermine efforts to promote gender equality as a means to address Malawi’s intense urban poverty and household food insecurity.

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)0.001
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 score0.313
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.090
GPT teacher head0.373
Teacher spread0.283 · 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

Citations14
Published2015
Admission routes2
Has abstractyes

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