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Record W1548710712

Embu Women: Food Production and Traditional Knowledge

2003· article· en· W1548710712 on OpenAlexvenueaboutno aff
Njoki Nathani Wane

Bibliographic record

VenueResources for feminist research · 2003
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsFood processingTraditional knowledgeFood securityIndigenousFood systemsSociologyAgricultureGeographyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This article reports on the results of a study on food production among Embu women in Kenya. As food production is a main source of income for rural women, and as it is strictly gendered, the author applies a feminist methodological frame-work to the study, and questions her own role as an insider/outsider. What do men know about food! We grow the food, harvest it, carry it home and store it. We manage it until the next season...by deciding what to cook, how much to cook and when to cook...and...deciding how to preserve it. Traditionally, everything in this homestead belongs to my husband, but in reality I own the food, I am the one in charge (Rwamba, interview, 1993).(1)IntroductionAs an Embu woman whose cultural roots include a long history of participation in agriculture and food processing, I was interested in investigating and documenting the rich indigenous knowledge of the land and its food-related cultural processes. There was also a personal objective for me -- I wanted to fill in the gap that developed as a result of my having been taken from my roots at an early age in order to acquire a formal education. This paper examines the participation of Embu women in the food cycle. It reflects the results of my research among Embu rural women in Kenya, where I studied their traditional techniques of food processing and food cycles and how those techniques are informed by indigenous knowledge. Kenya's extraordinary diversity of people, geographical landscape, and climates, has interested scholars for many years. Very little of their research has focussed on women however, particularly with respect to the important role they play in food production. My study focuses on women's participation in the food cycle and, in particular, in food production, usually the main source of discretionary income in rural areas.In May 1993, I left Canada for Kenya to carry out research on the role of Embu rural women in indigenous food-processing practices. The women in my study live in the Embu district, one of four districts in the Eastern Province of Kenya. Geographically, the Embu district is part of the fertile and well-watered highlands that border the slopes of Mount Kenya. It is situated 250 kilometers north of the capital, Nairobi, and is accessible by tarmac road. The Embu district populations is about 100,000, the majority of whom are engaged in subsistence farming. Both cash crops (e.g., tea and coffee) and subsistence crops (e.g., maize, beans, potatoes, arrowroot, cassava, and banana) are grown on small-scale holdings -- family farms that may be between one to five hectares of land. Family homesteads are adjacent to family fields. Most homes face toward an open compound, or nja, where many family activities take place, such as food processing, eating, playing with children, or receiving visitors. It was in the nja that most of my interviews took place.MethodologyI spoke with 177 women, spread across a radius of 20 kilometres; I interviewed them, recorded their life histories, and administered questionnaires. The questionnaire was based on gender roles and household politics. Seventy-seven women were selected to participate in unstructured interviews, 14 for life histories and the remaining 86 simply filled out questionnaires that had been translated into the Kiembu language. Twelve percent of the 177 women had been exposed to some form of Western education (e.g., adult literacy classes, contraception classes, or Maendeleo Ya Wanawake, meaning development for women by women). Eighty-six percent of the women had an annual family income of less than 10,000 Kenyan shillings (CAD$250), derived mainly from the sale of cash crops. The women's reported experiences as homemakers, food processors, and nurturers provided the primary data for assessing their roles in the food production cycle.The life histories enabled me to link old and new processing practices. …

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.335
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.071
GPT teacher head0.308
Teacher spread0.238 · 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.

Study designNot applicable
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

Citations8
Published2003
Admission routes2
Has abstractyes

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