MétaCan
Menu
Back to cohort

Monitoring of arctic and red fox reproduction on Bylot Island, Nunavut, Canada

2020· dataset· en· W6899406816 on OpenAlexaboutno aff

Bibliographic record

VenueNordicana D · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsArcticLitterRelocationThe arcticReproductionArctic fox

Abstract

fetched live from OpenAlex

Foxes are strongly dependent on dens for parturition and rearing of cubs. Due to the shallow permafrost-free layer in most of the arctic fox’s range, new dens are rarely dug and existing ones are often used repeatedly year after year. An effective way to monitor both arctic and red fox populations is to take advantage of their use of den sites for reproduction. Starting in 1993, known den sites in the south plain of Bylot Island were opportunistically visited to assess the presence of cubs. Starting from 2003, the monitoring became systematic. An extensive search of dens was conducted and covered an area of ca. 600 km2 going from the Qarlikturvik valley to Pointe Dufour. Since then, dens are visited twice during summer, once in mid-May and once at the end of June. All visits are made within a week to avoid counting the same litter twice due to relocation of cubs during the rearing period. Only dens where cubs are seen or heard are categorized as breeding dens (natal or rearing den). Since 2007, camera traps are installed on some dens to complement field observations.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.020
GPT teacher head0.248
Teacher spread0.228 · 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
GenreDataset

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

Citations3
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueNordicana DFrench-language works237,207