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Record W2182877143

Preliminary Analysis of Hunter Observations of Northern Mountain Caribou in the Mackenzie Mountains, 1991-2010

2012· article· en· W2182877143 on OpenAlexaboutno aff
Nicholas C. Larter

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldHealth Professions
TopicIndigenous Studies and Ecology
Canadian institutionsnot available
Fundersnot available
KeywordsWoodland caribouGeographyWildlifeEndangered speciesHerdPopulationPhysical geographyForestryEcologyDemographyBiology
DOInot available

Abstract

fetched live from OpenAlex

The northern mountain population (NMP) of woodland caribou (Rangifer tarandus caribou) was assessed by the Committee on Status of Endangered Wildlife in Canada (COSEWIC) as a species of special concern in 2002 and was listed as such under the federal Species at Risk Act (SARA) in 2004. In the preparation of a SARA management plan, demographic information on the 39 delineated caribou herds was required (Environment Canada 2011). The Bonnet Plume and Redstone are two of the larger northern mountain caribou herds residing in the Mackenzie Mountains shared by the Yukon and Northwest Territories (NWT). Survey data from these herds are lacking, however Environment and Natural Resources (ENR) has collected voluntary wildlife observation data from the Mackenzie Mountain Outfitters and clients since 1991. I used this time series observation data to explore demographic characteristics of the Bonnet Plume and Redstone herds. I found consistent differences between the two herds in the ratios of calves per 100 adult females and male:female but also surprising consistency within herds over the past 20 years.

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)0.002
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 score0.801
Threshold uncertainty score0.395

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.064
GPT teacher head0.360
Teacher spread0.296 · 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 routes1
Has abstractyes

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