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Record W4412091548 · doi:10.1111/jlca.70018

Building a Non‐Farmhouse: Labor Migration, Construction, and the Decline of Peasant Agriculture in Rural Peru

2025· article· en· W4412091548 on OpenAlexaff
Susan Vincent

Bibliographic record

VenueThe Journal of Latin American and Caribbean Anthropology · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgriculture, Land Use, Rural Development
Canadian institutionsSt. Francis Xavier University
Fundersnot available
KeywordsPeasantAgricultureGeographyAgricultural economicsEconomic geographyEconomicsArchaeology

Abstract

fetched live from OpenAlex

ABSTRACT This paper examines how residential architecture engages with lifestyles and livelihoods, permitting some activities while foreclosing others. Focusing on houses built by Teodora, her father, and her son in the Peruvian peasant community of Allpachico, I show how experiences of migration paid for and informed the designs of, and materials used in, each house, while structuring the social relations and aspirations of their owners. Farming remains important to some, but the peasant‐worker of the past has given way to Lima‐based migrants who maintain secondary residences in the community to offset the hardships of city life. The new houses are designed for accommodation and are adapted to current lifestyles; they are not amenable to storing crops and raising animals. This confluence of factors makes small‐scale farming, a major producer of global food supplies, ever more difficult, even in rural hinterlands.

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 score0.311
Threshold uncertainty score0.651

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
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 head0.005
GPT teacher head0.235
Teacher spread0.230 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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