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Record W1554856387 · doi:10.1002/9781118354186.ch33

The Policy Context: Building Laws and Rules that Embrace Novelty

2013· other· en· W1554856387 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

Venuenot available
Typeother
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsnot available
Fundersnot available
KeywordsNoveltyLegislatureContext (archaeology)Ecosystem servicesPolitical scienceBiodiversityEcosystemEnvironmental resource managementBusinessEnvironmental planningEcologyGeographyEconomicsLawBiology

Abstract

fetched live from OpenAlex

This chapter examines how novelty and novel ecosystem changes are addressed in existing domestic and international policy. It also examines what types of changes might improve policy guidance. The chapter considers a range of policies related to biodiversity and endangered species, invasive species, protected areas and ecosystem services. In addition to international examples, it looks at domestic policy from the United States, the United Kingdom, Canada and Australia. The chapter argues that significant gaps remain and outdated policy and legislative frameworks continue to limit our ability to respond to the challenges and opportunities posed by the emergence of novel ecosystems. It also highlights some key areas of innovation and some policy space to address novelty. Wherever possible, the chapter suggests how policy might be amended and improved to both acknowledge the existence of novel ecosystems and provide mechanisms for management (and even conservation) of such systems.

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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.051
Threshold uncertainty score0.998

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0140.002

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 head0.011
GPT teacher head0.225
Teacher spread0.213 · 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

Citations13
Published2013
Admission routes1
Has abstractyes

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