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Record W2169787553 · doi:10.1525/ae.2000.27.4.839

Learning about Power: Development and Marginality in an Adult Literacy Center for Farm Workers in Zimbabwe

2000· article· en· W2169787553 on OpenAlexaff
Blair Rutherford, Rinse Nyamuda

Bibliographic record

VenueAmerican Ethnologist · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican studies and sociopolitical issues
Canadian institutionsUniversity of Regina
Fundersnot available
KeywordsLiteracyEthnographyPower (physics)SociologyGender studiesPostcolonialism (international relations)Gender and developmentDevelopment studiesCenter (category theory)Farm workersRace (biology)Economic growthSocial changeAnthropologyGeographyEconomicsSocial transformationPedagogy

Abstract

fetched live from OpenAlex

In this article, we critically examine the rise and fall of an adult literacy center that we helped establish for farm workers during the course offieldwork on a commercial farm in Hurungwe District, Zimbabwe. We raise questions about the emerging conventional wisdom in the anthropology of development and postcoloniality more broadly that characterizes development primarily as a mechanism to impose Western agendas and control targeted peoples. Our tale of the "Night School" suggests that anthropologists and social scientists need to pay attention to the power relations of development and the varied hierarchies and arrangements "in the margins" of development that cross‐cut wider interventions and relations of rule. [development, discourse, power, Zimbabwe, postcolonialism, gender, race, ethnography]

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)0.004
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 score0.056
Threshold uncertainty score0.110

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0230.017
Scholarly communication0.0050.004
Open science0.0010.009
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.364
Teacher spread0.342 · 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

Citations19
Published2000
Admission routes1
Has abstractyes

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