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Record W2157123089 · doi:10.1068/c1031r

Placing Agriculture within Rural Development: Evidence from EU Case Studies

2011· article· en· W2157123089 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment and Planning C Government and Policy · 2011
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicRural development and sustainability
Canadian institutionsAgriculture Food and Rural Development
Fundersnot available
KeywordsAgrarian societyCommon Agricultural PolicyAgricultureRural developmentRural areaAgricultural policyEconomicsDevelopment economicsEconomic growthPolitical scienceGeographyLaw

Abstract

fetched live from OpenAlex

In the light of four competing models for rural development (agrarian, exogenous, endogenous, and neo-endogenous) we evaluate the relationship between agriculture, agricultural policy, and rural development in five regions in established EU member states: Borders, Midlands, and Western Region (Ireland), Navarra (Spain), Tyrol (Austria), Skåne (Sweden), and Altmark (Germany). Evidence suggests that both the agrarian and exogenous models are anachronistic. However, the Common Agricultural Policy remains closest to the agrarian model of rural development, and in its current form fails to promote a wider rural and territorial development. The LEADER programme, which is often perceived as a viable alternative approach to rural development, fits most closely with the neo-endogenous rather than with the endogenous model. Nevertheless, for EU policy to fully embody the neo-endogenous model a far more fundamental reform of the CAP would be required than that agreed in the wake of the Health Check.

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.

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 score0.060
Threshold uncertainty score0.399

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.038
GPT teacher head0.234
Teacher spread0.196 · 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