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Record W4241838636 · doi:10.52537/humanimalia.9433

Women and Cattle “Becoming-With” in Botswana

2020· article· en· W4241838636 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHumanimalia · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicRangeland Management and Livestock Ecology
Canadian institutionsYork University
Fundersnot available
KeywordsLivelihoodIntersectionalityEthnic groupContext (archaeology)OperationalizationSituatedGeographySociologyGender studiesAgriculture

Abstract

fetched live from OpenAlex

Cattle are paramount to lives, livelihoods and landscapes in Botswana. Human-cattle relations emerge and evolve through historically-situated social relations of power based on gender, ethnicity, and class. Our paper explores intersectional human-cattle relations in Botswana within the contemporary period of enhanced commercialization. Specifically, with data from participant observation and semi-structured interviews with women cattle owners in Ghanzi District, Botswana, we investigate how women across a range of ethnicities become-with cattle and how cattle are becoming-with women cattle owners, directly or mediated through hired labour and/or technology. By operationalizing Haraway’s multispecies ‘becoming-with’ through intersectionality theory we articulate the nuanced ways in which individuals or social groups of two distinct species (here humans and cattle) become who they are. We show that whereas gender and ethnicity dynamics place women as engaging directly with cattle, engaging indirectly with cattle or becoming-without cattle, class most visibly shape the way that cattle become-with women cattle owners and other humans. We offer a novel illustration of an intersectional becoming-with, highlighting human-animal relations in the context of agriculture and socio-economic change in the Global South.

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.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0040.000

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 head0.022
GPT teacher head0.209
Teacher spread0.187 · 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