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Record W3123662321

Marine Protected Areas: Legal Framework for the Gully Off the Coast of Nova Scotia (Canada)

2009· article· en· W3123662321 on OpenAlexaboutno aff
David VanderZwaag

Bibliographic record

VenueKnowledge@SchulichLaw · 2009
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsMarine protected areaContext (archaeology)ZoningEnvironmental resource managementEnvironmental planningCorporate governanceGeographyBusinessPolitical scienceEnvironmental scienceEcologyArchaeologyLaw
DOInot available

Abstract

fetched live from OpenAlex

The Gully, a submarine canyon hosting a rich diversity of marine life off Nova Scotia, was designated in 2004 under Canada’s Oceans Act 1996 as a marine protected area (MPA). This case study reviews the Gully MPA legal and management framework through a five-part discussion. First described is the overall Canadian law and policy context for establishing MPAs. Next, specific legislative and regulatory provisions governing the Gully MPA are summarized including the three types of management zones adopted, ranging from strict preservation to multi-use. Management approaches to control human activities in and around the MPA are then described, with a focus on the Gully Marine Protected Area Management Plan. Ongoing management challenges are highlighted including implementation of the ecosystem approach, unresolved legal issues, such as what constitutes a disturbance of the Gully MPA for prosecution purposes, and governance limitations, in particular limited financial and human resources. The case study concludes with lessons to be learned from the Gully MPA experience. Key lessons include: the time-consuming nature of MPA establishment, the usefulness of multi purpose zoning, the need for a multi-agency approach, the value of strong communication with user groups, the importance of linking MPA designation to integrated management planning, and the need for ongoing law and policy review. This paper was co-authored with Paul Macnab , Fisheries and Oceans Canada ( paul.macnab@mar.dfo-mpo.gc.ca ).

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.799
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0040.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.029
GPT teacher head0.346
Teacher spread0.317 · 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.

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

Citations1
Published2009
Admission routes1
Has abstractyes

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