MétaCan
Menu
Back to cohort
Record W2395788200

Protection of Threatened Species in New Zealand

2015· article· en· W2395788200 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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueResearch Commons (University of Waikato) · 2015
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental Conservation and Management
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsThreatened speciesConservation-dependent speciesEndangered speciesGeographyEnvironmental planningNear-threatened speciesEcologyBiologyHabitat
DOInot available

Abstract

fetched live from OpenAlex

The need to protect threatened species and facilitate their recovery to viable population levels enjoys widespread international support, but it is the domestic legal rules of individual nations that will implement international calls for protection and recovery. New Zealand purports to protect threatened species primarily with the Wildlife Act 1953, a statute whose purpose is more concerned with wildlife management than implementing a legal framework to protect threatened species. The consensus is that the Wildlife Act 1953 and other applicable legislation such as the Resource Management Act 1991 is not up to the task of protection and recovery of threatened species in New Zealand. In this article we explore how dedicated threatened species legislation in New Zealand might improve on the existing legal framework, and in particular with respect to the designation and planning on threatened species, recovery programmes and habitat protection. For an illustration of how these components may contribute to the threatened species problem we look to Canada as a nation which enacted dedicated threatened species legislation in 2002. The story thus far in Canada suggests legal rules are not a panacea for species decline, but nonetheless dedicated legislation can offer substantial benefits such as transparency and a systematic approach to species planning, better integration with resource development, and a measure of accountability in law to hold public officials to their promises on threatened species protection.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.037
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.152
GPT teacher head0.277
Teacher spread0.125 · 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