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Record W2186935812

Occurrence and Distribution of Fishers ( Pekania pennanti) in the Central Aspen Parklands of Alberta

2014· article· en· W2186935812 on OpenAlexaboutno aff
Gilbert Proulx, H. Loney Dickson

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyRecreationHabitatDeciduousDistribution (mathematics)National parkNatural (archaeology)EcologyEcosystemForestryEnvironmental protectionFisheryArchaeologyBiology
DOInot available

Abstract

fetched live from OpenAlex

We re-investigated the occurrence and distribution of Fishers (Pekania pennanti) released in the Elk Island National Park – Cooking Lake-Blackfoot Provincial Recreation Area – Ministik Lake Bird Sanctuary complex in the early 1990s. From March to November 2013, we set remote cameras in deciduous forests in areas where Fishers were originally released, and in surrounding natural reserves up to 60 km from the original release sites. We confirmed the presence of Fisher in 95 videos which corresponded to at least 6 different individuals. Fishers are still present in the original release areas and have expanded northward 20 km. The success of the translocation program is likely the result of releasing numerous (65%) females and large adult males from different populations in several locations. Choosing a large, contiguous “forested island” within this otherwise agricultural landscape also contributed to the release success. This study shows that it is possible to re-establish Fishers in ecosystems that have been affected by agricultural and urban developments, as long as large, contiguous areas of forested habitats are maintained and protected.

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)0.000
metaresearch head score (Gemma)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.421

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
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 head0.006
GPT teacher head0.195
Teacher spread0.189 · 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
Published2014
Admission routes1
Has abstractyes

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