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Record W2186866556

Climate Impacted Littoral Phenomena and Customary Property Rights

2014· article· en· W2186866556 on OpenAlexfundno aff
Franklin Obeng‐Odoom, John Sheehan

Bibliographic record

VenueUTS ePRESS (University of Technology Sydney) · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicHydropower, Displacement, Environmental Impact
Canadian institutionsnot available
FundersUniversity of CanberraQueensland GovernmentUniversity of CambridgeYork University
KeywordsProperty rightsProperty (philosophy)PoliticsExtant taxonPolitical scienceLaw and economicsPerspective (graphical)Climate changePolitical economyEnvironmental ethicsEconomicsLawEcology
DOInot available

Abstract

fetched live from OpenAlex

This article looks at the relationship between different structures of property rights and climate change in littoral areas. It presents a critical historical political economy perspective on the Hohfeldian analysis of property as a legal and jurisprudential concept, primarily by contextualising it as embedded in broader social, economic and environmental relations. Through consideration of contemporary developments in environmental practices in Ghana and Australia, it argues that dramatic changes in customary property rights since their incorporation in the capitalist mode of production have greatly enhanced anthropogenic activities which, in turn, have placed such rights at great risk: of submergence, of losing economic and cultural value, and of disrupting extant economic and biophysical practices. The policy implications arising from such concerns are considered

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.013
Scholarly communication0.0020.002
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.287
Teacher spread0.278 · 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 designObservational
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

Citations2
Published2014
Admission routes1
Has abstractyes

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Same venueUTS ePRESS (University of Technology Sydney)Same topicHydropower, Displacement, Environmental ImpactFrench-language works237,207