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The Evolution of Resource Property Rights

2008· book· en· W75919970 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

Venuenot available
Typebook
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProperty rightsGovernment (linguistics)Private rightsFishingPublic rightsResource (disambiguation)Natural resourcePrivate propertyPolitical scienceCONQUESTExclusive rightNatural resource economicsLaw and economicsGeographyLawBusinessEconomicsIntellectual propertyHistory

Abstract

fetched live from OpenAlex

Abstract This book reacts to an economic literature which relies on theory to explain property rights. To correct this truistic approach the book traces the actual evolution by examining when, where, and how particular rights have acquired one or more of six characteristics. Coverage begins, for most resources, with rights acquired in the Norman Conquest, and examines their evolution in England and the US, as well as Canada and Australia. It is emphasized that it was the accumulation of these characteristics that made property rights more ‘complete’. The book is divided into four main parts. Each part surveys the history of individual rights held by owners and users of one of four natural resources: flowing water, fisheries, minerals, and timber. Coal and petroleum rights get their own chapter. Ocean fisheries' rights are an example. For centuries fishing had been ‘common property’. Government reinforced a public right of fishing with such enactments as Magna Carta. Nevertheless, since the nineteenth century most fishermen's rights have obtained some of the exclusivity characteristic. The book identifies episodes featuring a ‘demand’ for increases in a right's characteristics or/and a increase in ‘supply’ by courts, government, and custom. Half the resource chapters are devoted to rights to use public (Crown) lands; half are devoted to private rights on private lands.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.026
GPT teacher head0.175
Teacher spread0.149 · 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

Quick stats

Citations99
Published2008
Admission routes2
Has abstractyes

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