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Record W7046384374

Defining and Dividing Property Rights in the Commons: Today's Lessons from the Japanese Past

2009· article· en· W7046384374 on OpenAlexaff

Bibliographic record

VenueDigital Library Of The Commons Repository (Indiana University) · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsManitoba Forage Seed Association
Fundersnot available
KeywordsCommonsProperty rightsProperty lawPrivate propertyPublic propertyProperty (philosophy)Tragedy of the commonsCommon-pool resourceMeiji period
DOInot available

Abstract

fetched live from OpenAlex

"This paper examines the process by which commons became common property, the nature of the 'property' in common property, and the patterns of ownership of that property in Japan since the emergence of commons. It looks at community rules to see how users themselves defined property rights and at legal decisions to see how much protection and recognition the larger society gave to these definitions, from the evolution of property rights in the commons during the the medieval period (1185-1600), through the ownership and use patterns that prevailed during the Tokugawa period (1600-1867) when the commons came under pressure because of their importance, and on to the changes that resulted after assault on the commons during the Meiji period (1867-1912). The Japanese developed the notion of dividing and segmenting different rights to property early in the evolution of property rights, and by about 1600 considered most upland forest and meadow to be the shared private property (e.g., common property) of villages as corporate groups. The legal protection afforded the commons helped the system of common property as an arrangement for managing resources to weather the assaults from Meiji-period modernizers who wanted to nationalize forests and eliminate common access use rights from that land. The survival of the Japanese commons demonstrates that common property is not fundamentally defective or inconsistent with modern institutions, as long as it has the same benefits of legal protection that are given to individually-owned private property in capitalist societies. Indeed, the Japanese experience offers useful lessons in the workability of segmented rights each owned by the most appropriate or concerned community of user beneficiaries, with income flows from resources owned by individual appropriators while a community of individuals continues to own the resource base that generates both those income flows and community-wide environmental services. Finally, the Japanese case illustrates how devolution of property rights to the local level turns potential resource saboteurs into resource owner-protectors, an issue of world-wide concern today."

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)0.004
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.109
Threshold uncertainty score0.217

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0090.033
Scholarly communication0.0060.011
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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 designTheoretical or conceptual
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
Published2009
Admission routes1
Has abstractyes

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