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Record W74706850

Land use permits and water licences: improving enforcement of terms and conditions in the NWT

2012· article· en· W74706850 on OpenAlexfundaboutno aff
Patrick James Peter Wruck

Bibliographic record

VenueSummit (Simon Fraser University) · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLegal Issues in South Africa
Canadian institutionsnot available
FundersAboriginal Affairs and Northern Development Canada
KeywordsEnforcementBusinessEnvironmental planningEnvironmental resource managementEnvironmental protectionGeographyEnvironmental sciencePolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

Regulation and enforcement of land and water use in Canada's north is an important policy issue and an integral component of environmental protection in Canada's northern territories.This study examines the inspection, enforcement and compliance gaps that exist in the Northwest Territories (NWT).Specifically, the fact that very few inspections are carried out in the NWT is the policy problem at stake in this study.In order to better understand the problem, a multiple case study approach is used and three regions of the north, including the Yukon, the Inuvialuit Settlement Region and Nunavut, are examined.This study, while focusing on literature and publicly available reports, correspondence and other documents, also enlists an interview approach to identify key problems that exist in the north relating to inspections, enforcement and compliance.Policy options are provided and a final recommendation to combine "followup" programs with inspections is the concluding finding of this study.

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)0.004
metaresearch head score (Gemma)0.016
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 score0.085
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0050.002
Scholarly communication0.0030.002
Open science0.0020.003
Research integrity0.0010.001
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 head0.022
GPT teacher head0.251
Teacher spread0.229 · 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

Citations0
Published2012
Admission routes2
Has abstractyes

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