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Record W2890880486 · doi:10.1080/02255189.2018.1517301

Extrafamilial farm succession: an adaptive strategy contributing to the renewal of peasantries in Austria

2018· article· en· W2890880486 on OpenAlexvenueno aff
Anna Korzenszky

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2018
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsAgrarian societyFood securityGeneral partnershipAdaptive strategiesEcological successionFood sovereigntyProduction (economics)Face (sociological concept)Scale (ratio)Process (computing)Economic growthPolitical scienceBusinessGeographyEconomicsSociologyAgricultureSocial scienceEcology

Abstract

fetched live from OpenAlex

This article examines extrafamilial farm transmission, a process that brings together elderly farmers without successors and young people who aspire to farm but face various economic, social and cultural barriers to enter into the sector. First-hand accounts of the process from Austrian smallholders are systematically analysed to produce a stage-by-stage model. The multigenerational non-familial agrarian partnership this represents offers an alternative mechanism for maintaining small-scale food production and improving food security and food sovereignty. It is recommended as an adaptive strategy for the survival and re-generation of peasantry in the twenty-first century.

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)0.001
metaresearch head score (Gemma)0.002
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 score0.007
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0030.002
Scholarly communication0.0010.001
Open science0.0000.003
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.067
GPT teacher head0.260
Teacher spread0.192 · 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

Citations29
Published2018
Admission routes1
Has abstractyes

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