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Record W3187663411 · doi:10.1079/9781789247053.0005

Managing livelihood in displacement: the politics of land ownership and embodied health and well-being by senior women in Kenya.

2021· book-chapter· en· W3187663411 on OpenAlexaff
Edward Orwa Onyango

Bibliographic record

VenueCABI eBooks · 2021
Typebook-chapter
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsUniversity of WaterlooBalsillie School of International Affairs
Fundersnot available
KeywordsLivelihoodVulnerability (computing)InjusticeIndependence (probability theory)Land tenurePovertyPoliticsPolitical scienceForced migrationEconomic growthEmbodied cognitionGeographyDevelopment economicsGender studiesSociologySocioeconomicsAgricultureRefugeeEconomics

Abstract

fetched live from OpenAlex

This chapter focuses on the interrelationships between land dispossession, climate variability, and the health and well-being of displaced senior women involved in care responsibilities for their offspring and grandchildren in Kenya. The chapter is divided into two sections: the first describes the history of the land tenure system in Kenya from the colonial to the post-independence eras, which exacerbated the land dispossession problem through forced evictions and displacement. Analyzing these historical processes is essential to addressing the causes of land injustice in Kenya, as well as to illustrating how these injustices continue to affect the health and well-being of senior women, which is the focus in the second section. Understanding these issues is important in tackling deprivations and vulnerability that women and children face, and for addressing deeper root causes of poverty.

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)0.000
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.725
Threshold uncertainty score0.272

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)0.0000.000

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 head0.009
GPT teacher head0.207
Teacher spread0.197 · 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 designOther design
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

Citations2
Published2021
Admission routes1
Has abstractyes

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