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Record W1533854209 · doi:10.1111/1468-2230.12046

The Symbiosis of Property and English Environmental Law – Property Rights in a Public Law Context

2013· article· en· W1533854209 on OpenAlexaff
Eloise Scotford, Rachael Walsh

Bibliographic record

VenueModern Law Review · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicEnvironmental law and policy
Canadian institutionsTrinity College
Fundersnot available
KeywordsProperty rightsLegitimacyDiscretionProperty (philosophy)Environmental lawLawPublic propertyContext (archaeology)Property lawLaw and economicsPolitical scienceLand lawAdverse possessionBusinessEconomicsLand tenurePoliticsGeography

Abstract

fetched live from OpenAlex

This article argues that environmental regimes entailing considerable administrative discretion are now serving to contextualise and partly to constitute property rights in English law. In particular, rights to use land are ‘democratised’ to varying degrees through the administration of environmental regulation, and are adapted to land‐use problems on an evolving basis. In return, property rights affect environmental regulation, through legal protections for property interests, although the nature of the discretion exercised within environmental regimes seems to determine the kind and extent of this symbiotic influence. As a result, environmental law challenges property scholars to reflect on the impact of administrative decision‐making on property rights, conceptually, doctrinally and in terms of its legitimacy. At the same time, environmental lawyers need to take seriously the nature and legal treatment of property rights in the application and analysis of modern environmental law.

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)0.005
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.016
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.033
Scholarly communication0.0080.012
Open science0.0010.003
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.023
GPT teacher head0.244
Teacher spread0.222 · 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

Citations9
Published2013
Admission routes1
Has abstractyes

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