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Record W2789771193 · doi:10.1111/joac.12254

Socio‐economic transitions and everyday life changes in the rural world: Pyrenean households and their contemporary economic history

2018· article· en· W2789771193 on OpenAlexaff
Camila del Mármol, Gemma Celigueta, Ismael Vaccaro

Bibliographic record

VenueJournal of Agrarian Change · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsMcGill University
FundersMinisterio de Economía y CompetitividadWorld Health Organization
KeywordsSubsistence agricultureAgrarian societyCommodificationTourismIndustrialisationEveryday lifeAgricultureRural areaLivelihoodEconomic growthEconomyGeographyEconomicsPolitical scienceMarket economy

Abstract

fetched live from OpenAlex

Abstract This article focuses on understanding rural life and how agrarian everyday life changes as a consequence of the radical socio‐economic transformations that, across the world, have accompanied rural communities in their transition from economies of subsistence to industrial production, and, in some areas, from there to providers of service to the tourism‐oriented leisure economy. In the last century in the Alt Urgell District (Spanish Pyrenees), many communities went from a production model based on subsistence farming and livestock breeding first to a specialization in milk production and later to tourism. The industrialization of milk production, the radical transformation of the scale of their operations, and the monetization of life transformed the identity and structure of these communities. The subsequent transformation of many of these farms to accommodate the leisure industry changed the shape of these households again. This paper reflects on how science, governance, commodification, and technology played a role on the transformation of the rural mountain areas, their people, and their everyday life.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.057
Threshold uncertainty score0.113

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.003
Scholarly communication0.0020.002
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.054
GPT teacher head0.219
Teacher spread0.165 · 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 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

Citations10
Published2018
Admission routes1
Has abstractyes

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