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Fish habitat is everyone's business, Canada's fish habitat management programme

2004· article· en· W2154758839 on OpenAlexaffabout
G. A. Goodchild

Bibliographic record

VenueFisheries Management and Ecology · 2004
Typearticle
Languageen
FieldEnvironmental Science
TopicEnvironmental and Social Impact Assessments
Canadian institutionsFisheries and Oceans Canada
Fundersnot available
KeywordsHabitatBusinessEnforcementLegislationEnvironmental resource managementWildlifeOutreachMandateFisheryAgency (philosophy)Environmental planningGeographyEcologyPolitical scienceEnvironmental science

Abstract

fetched live from OpenAlex

Abstract The conservation and protection of fish habitat in support of Canada's coastal and inland fisheries is the mandate of Canada's Fish Habitat Management Programme. The programme's objective of a net gain of the productive capacity of habitat is achieved by a variety of actions that protect fish habitat but allow works and undertakings in and around water. Some of the core activities include a review of works and proposals for adherence to the requirements of the Fisheries Act, the issuance of letters of mitigation advice, and authorisation and enforcement activities for compliance with legislation and policies. The programme is enhanced through working with partners in community outreach activities, the generation of mitigation guidelines and fact sheets, as well as compliance monitoring and assessment. This paper presents an overview of the Canadian Fish Habitat Management Programme and focuses on how an expanded programme is being managed within the Province of Ontario. Habitat managers’ tools used to protect the resource are detailed. In 1997, an expanded programme for habitat management was initiated. Subsequently, there has been greater emphasis on advice to clients, agency partnerships and public education. Focussing on redesign and relocation of projects and mitigation of harmful effects has likely resulted in the reduction of the number of authorisations for habitat destruction in this period, despite an overall increase in project referrals for review. Once the Habitat Management Programme is fully implemented across Canada, it will be possible, through monitoring and review, to assess whether there is a greater achievement of no net loss of the productive capacity of habitat and potentially a net gain. This programme of habitat protection and conservation could serve as a model for other jurisdictions.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.357

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0030.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0340.003

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 head0.008
GPT teacher head0.196
Teacher spread0.188 · 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 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

Citations18
Published2004
Admission routes2
Has abstractyes

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