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Record W2121399392 · doi:10.1017/s0021853714000668

‘ARE YOU PLANTING TREES OR ARE YOU PLANTING PEOPLE?’ SQUATTER RESISTANCE AND INTERNATIONAL DEVELOPMENT IN THE MAKING OF A KENYAN POSTCOLONIAL POLITICAL ORDER (<i>c</i>. 1963–78)

2015· article· en· W2121399392 on OpenAlexaff
Kara Moskowitz

Bibliographic record

VenueThe Journal of African History · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicAfrican history and culture studies
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
Fundersnot available
KeywordsPoliticsNegotiationKenyaResistance (ecology)Order (exchange)Political scienceEconomic growthGender studiesSociologyPolitical economyLawEconomics

Abstract

fetched live from OpenAlex

Abstract This article examines squatter resistance to a World Bank-funded forest and paper factory project. The article illustrates how diverse actors came together at the sites of rural development projects in early postcolonial Kenya. It focuses on the relationship between the rural squatters who resisted the project and the political elites who intervened, particularly President Kenyatta. Together, these two groups not only negotiated the reformulation of a major international development program, but they also worked out broader questions about political authority and political culture. In negotiating development, rural actors and political elites decided how resources would be distributed and they entered into new patronage-based relationships, processes integral to the making of the postcolonial political order.

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)0.003
metaresearch head score (Gemma)0.002
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 score0.033
Threshold uncertainty score0.066

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0110.014
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.002
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 head0.053
GPT teacher head0.291
Teacher spread0.237 · 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
Published2015
Admission routes1
Has abstractyes

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