Land Restoration Amid Male Outmigration
Bibliographic record
Abstract
ABSTRACT 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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.029 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".