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Record W2342711470 · doi:10.1111/1477-9552.12153

Conservation Practices and the Growth of<scp>US</scp>Cash Rent Leases

2016· article· en· W2342711470 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

VenueJournal of Agricultural Economics · 2016
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsRentingIncentiveCashBusinessExploitEconomicsLand tenureRisk aversion (psychology)Agricultural economicsNatural resource economicsMicroeconomicsFinanceAgricultureFinancial economicsEcology

Abstract

fetched live from OpenAlex

Abstract Over the past 20 years the ratio of cash rent to cropshare land leases across the US has more than doubled. We test different theories that might explain this, and conclude that the shift is mostly the result of revolutionary changes in cultivation practices. The switch from conventional to conservation tillage brought about by changes in herbicide technologies, genetically modified seeds, increased fuel costs, and knowledge of the benefits of soil micro‐organisms, has reduced a tenant‐farmer's ability to exploit a landowner's soil. This removes a major incentive to cropshare and makes cash renting more attractive. Using USDA field‐level data from across the US , we find strong support for this hypothesis, and some evidence that increased corporate structure also influences cash renting. Alternatively, we cannot find evidence that changes in risk, risk‐aversion or insurance coverage explain the growth in cash renting.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.617
Threshold uncertainty score0.093

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 head0.016
GPT teacher head0.195
Teacher spread0.178 · 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