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Record W4388866374 · doi:10.3368/er.41.4.220

Land Restoration Amid Male Outmigration

2023· article· en· W4388866374 on OpenAlexaff
Jennifer C. Langill, Mary Crossland, Marlène Elias, Barbara Vinceti, Ana Maria Paez Valencia, Alain Traoré, Daouda Traoré

Bibliographic record

VenueEcological Restoration · 2023
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsMcGill University
FundersInternational Fund for Agricultural DevelopmentConsortium of International Agricultural Research CentersAustrian Development Agency
KeywordsKenyaLivelihoodGeographySocioeconomicsEconomic growthPolitical scienceSociologyAgricultureEconomics

Abstract

fetched live from OpenAlex

<h3>ABSTRACT</h3> Within the global literature on ecological restoration, a subset of literature examines the relationship between smallholder land restoration and rural outmigration. However, intrahousehold dynamics surrounding the outmigration of one or more household members and the capacity of the household to undertake land restoration activities are often overlooked. With analyses rooted in Burkina Faso and Kenya, we explore the relationships between restoration, household labor, and rural outmigration, which is a prominent livelihood strategy in the two contexts. Our case studies draw on data from interviews, focus group discussions, and small-n household surveys in Burkina Faso and Kenya. Our analysis substantiates the need to consider migration in understanding and promoting smallholder land restoration. Our multi-sited approach further reveals that the contextually-specific characteristics of the migration event (i.e., type of migration [permanent or temporary], position of the migrant within the household, timing and duration of migration) play an important role in shaping restoration and gender outcomes. As male heads of households or their sons outmigrate periodically in Kenya compared to young men leaving seasonally in Burkina Faso, the impacts of migration on intrahousehold gender relations are more transformative in the Kenyan case study, with women garnering greater decision-making power on the family farm and in land restoration activities, whereas entrenched gender norms in the Burkina Faso case remain unchallenged by migration.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.516
Threshold uncertainty score0.952

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)0.0010.001

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 head0.032
GPT teacher head0.240
Teacher spread0.208 · 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 designObservational
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

Citations0
Published2023
Admission routes1
Has abstractyes

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