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Record W7019293349

Financing Agriculture and Rural America: Issues of Policy, Structure and Technical Change; Proceedings of the NC-221 Committee Annual Meeting, Denver, Colorado, October 7-8, 2002

2017· article· en· W7019293349 on OpenAlexaboutno aff

Bibliographic record

VenueAgEcon Search (University of Minnesota, USA) · 2017
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsnot available
Fundersnot available
KeywordsBankruptcyRevenuePaymentAgricultureInvestment (military)Government (linguistics)Financial riskLife insuranceRate of return
DOInot available

Abstract

fetched live from OpenAlex

This publication relates activities by guests and participants of the NC-221 Committee during the annual meeting held October 7-8, 2002. The meeting was graciously hosted by CoBank in Greenwood Village, Colorado, a Denver suburb. The selected papers are included along with two papers where only the presentations are available. Table of Contents: Determinants of Farm Credit Risk Migration Rates, by Cesar L. Escalante, Timothy A. Park, Peter J. Barry, and Ebru Demir; Factors Affecting Chapter 12 Bankruptcy Filings in the United States: A Panel Data Model, by Bruce L. Dixon, Nan Ma, Bruce L. Ahrendsen, Latisha A. Settlage, and Jerome M. Stam; A Study of the Risk of Issuing FSA Guarantees on Contract Land Sales to Beginning Farmers, by Charles Dodson; A Comparative Study of the Financial Performance of Grain and Oilseed Farms in Ontario and Illinois, by Calum G. Turvey and Paul Ellinger; Financial Management Practices and Farm Profitability, by Brent Gloy and Eddy LaDue; An Empirical Examination of the Relationship between Options Values and the Rate of Investment in the Food and Life Science Industries, by Luisa Menapace and Calum G. Turvey; Government Program Payment Mechanisms, Crop Revenue Coverage Insurance, and the Return to Farm Land, by Allan W. Gray, Michael Boehlje, Brent A. Gloy, and Stephan P. Slinsky; Evaluation of Risk Reductions Associated with Multi-peril Crop Insurance Products, by Gary D. Schnitkey, Bruce J. Sherrick, and Scott H. Irwin; Bank Risk Ratings and the Pricing of Agricultural Loans, by Nick Walraven and Peter J. Barry; Farm Values and Financial Performance of Diversified Farms, by Ani L. Katchova; The Farm Sector Balance Sheet: A Partitioning of Operator, Landlord, and Contractor Contributions, by James T. Ryan; A Bayesian Examination of Financial Constraints and Farm Investment, by Chad Hart and Sergio H. Lence.

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)0.003
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.217
Threshold uncertainty score0.432

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0030.001
Scholarly communication0.0070.003
Open science0.0010.002
Research integrity0.0040.003
Insufficient payload (model declined to judge)0.0380.006

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 head0.014
GPT teacher head0.224
Teacher spread0.210 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2017
Admission routes1
Has abstractyes

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