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Record W7096708197

Marbled murrelet nesting habitat conservation plan for the Nimpkish

2005· article· en· W7096708197 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife-Road Interactions and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsForest managementHabitatWoodlandSustainable forest managementPopulationNesting (process)Certified woodForest ecologyHabitat conservation
DOInot available

Abstract

fetched live from OpenAlex

Abstract: Canadian Forest Products Ltd.’s Tree Farm Licence (TFL) 37 is within the marbled murrelet’s (Brachyramphus marmoratus) nesting range on Vancouver Island, British Columbia. Suitable nesting habitat on west and north Vancouver Island is generally considered to occur within forests that are> 250 years old,> 28.5 m tall, < 900 m elevation, and < 30 km from saltwater. The Nimpkish Defined Forest Area, which includes TFL 37, is certified under the national Sustainable Forest Management System standard (CAN/CSA-Z809-96). One component of this standard is that a public advisory group representing local interests must be formed and maintained to guide the certification process. The Nimpkish Woodlands Advisory Group was formed and identified values, objectives, indicators, and targets of sustainable forest management within the Nimpkish Defined Forest Area. A quantifiable indicator of sustainable forest management identified by the group was the amount of area maintained as marbled murrelet nesting habitat. As a result, Canadian Forest Products Ltd. invested significant resources over four years to collect data to develop a science-based conservation plan for marbled murrelet habitat. The management objective of the plan is to ensure that sufficient habitat (based on population size) is maintained over time and space in the Nimpkish Defined Forest Area to ensure

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)0.001
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: Other · Consensus signal: none
Teacher disagreement score0.299
Threshold uncertainty score0.602

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.001

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 head0.021
GPT teacher head0.240
Teacher spread0.219 · 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
GenreOther

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
Published2005
Admission routes1
Has abstractyes

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