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Record W7054867248

Book Review: Colin T Reid and Walters Nsoh, The Privatisation of Biodiversity? New Approaches to Conservation Law, New Horizons in Environmental and Energy Law

2018· article· en· W7054867248 on OpenAlexaboutno aff

Bibliographic record

VenueeYLS (Yale Law School) · 2018
Typearticle
Languageen
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsIndigenousUnderpinningEnvironmental lawNatural resourceNatural (archaeology)New horizonsRelevance (law)Energy (signal processing)Nature Conservation
DOInot available

Abstract

fetched live from OpenAlex

The Privatisation of Biodiversity? New Approaches to Conservation Law, written by Colin T Reid and Walters Nsoh, is a recently published addition to the Edward Elgar book series New Horizons in Environmental and Energy Law. The book explores how “private rights and market devices” may serve as an alternative to “direct ‘command and control’ regulation”, and so ensure that the use of natural resources remains within ecological limits, while preventing the loss of habitat, habitat degradation, and species extinctions. A diverse range of mechanisms are considered under the “privatisation” heading, with “an emphasis on private law frameworks” that enable private initiatives, choices, and funding, rather than viewing conservation as an enterprise predominantly “controlled and directed by public authorities”. The book consists of nine chapters. The Introduction defines key concepts such as biodiversity, ecosystem services, nature conservation law, market-based instruments, and commodification. Defining key concepts relating to the privatization of biodiversity is crucial for the readability of this book and its relevance to a wider audience. The legal tools covered in the latter chapters are very technical, but so are the non-legal concepts underpinning the legal structures. The authors are to be commended for clearly and painstakingly laying out foundational concepts. However, despite these efforts, it is surprising, at least to a Canadian reviewer, that almost no attention is given to how Indigenous perspectives might inform these foundational concepts. The challenges that might arise if the integration of Indigenous knowledge, laws, and institutions were taken seriously, as well as the importance of doing so, will be considered briefly towards the end of this review.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.644
Threshold uncertainty score0.555

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.024
GPT teacher head0.191
Teacher spread0.167 · 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 designNot applicable
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
Published2018
Admission routes1
Has abstractyes

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