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Record W3141821730

Land Demarcation Systems

2011· preprint· en· W3141821730 on OpenAlexaboutno aff
Gary D. Libecap, Dean Lueck

Bibliographic record

VenueRePEc: Research Papers in Economics · 2011
Typepreprint
Languageen
FieldAgricultural and Biological Sciences
TopicLand Rights and Reforms
Canadian institutionsnot available
Fundersnot available
KeywordsIncentivePlaintiffGeographyProperty (philosophy)PopulationLand useInvestment (military)Land tenureEconomic geographyFocus (optics)EconomicsEconomyNatural resource economicsBusinessPolitical scienceLawCivil engineeringMarket economyEngineeringSociologyArchaeologyAgriculture
DOInot available

Abstract

fetched live from OpenAlex

Abstract. Land demarcation systems are ancient human artifacts and are fundamental to property law and property markets. In this chapter we develop an economic framework for examining systems of land demarcation and examine the economic history of demarcation in the United States and beyond. We focus on metes and bounds and rectangular systems – the two dominate land demarcation methods. We examine the various patterns of demarcation used in the U.S. and describe how a centralized rectangular system became dominant in large parts of the U.S. as well as in commercial urban subdivisions. We also show rectangular systems have been adopted in parts of Canada and Australia and cities in other parts of the world. We consider how a decentralized system of land claiming would generate patterns of land holdings that would be unsystematic and depend on natural topography and the characteristics of the claimant population. We then show how a centralized, rectangular system generates different ownership patterns and incentives for land use, land markets, investment, and border disputes. We illustrate some empirical findings from an analysis of metes and bounds in the Virginia Military District of Ohio.

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 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)0.001
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: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.952
Threshold uncertainty score0.330

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 integrity0.0000.001
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 head0.047
GPT teacher head0.269
Teacher spread0.223 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations0
Published2011
Admission routes1
Has abstractyes

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