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Record W2936296168 · doi:10.1080/02255189.2019.1592744

Generational transmission of smallholder farms in late capitalism

2019· article· fr· W2936296168 on OpenAlexaffvenue
Anne Cassidy, Sharada Srinivasan, Ben White

Bibliographic record

VenueCanadian Journal of Development Studies/Revue canadienne d études du développement · 2019
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsUniversity of Guelph
FundersEuropean CommissionU.S. Department of Agriculture
KeywordsCapitalismAgrarian societyAgricultureReproductionTransmission (telecommunications)GeographyEconomic growthEconomic geographyPolitical scienceEconomicsEcologyBiologyEngineering

Abstract

fetched live from OpenAlex

Despite contextual differences, the future of smallholder farming faces many similar challenges worldwide. This introduction to the special section previews case studies from Australia, Austria, Ireland and Japan of generational transmission of smallholder farms in late capitalism. It frames key issues in the generational reproduction of smallholder farming, combining perspectives from agrarian studies and youth studies. The cases include intrafamilial succession and extrafamilial transmission to “newcomer” farmers. Intergenerational farm transfers are a two-way interaction between the older and the younger generations, in which neither fully controls the process.

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)0.002
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 score0.990
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.003
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0000.001
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 head0.037
GPT teacher head0.218
Teacher spread0.182 · 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

Citations26
Published2019
Admission routes2
Has abstractyes

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