MétaCan
Menu
Back to cohort
Record W4386547135 · doi:10.1080/10871209.2023.2249930

Lessons for becoming bison wise and bear aware in Elk Island National Park

2023· article· en· W4386547135 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueHuman Dimensions of Wildlife · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Ecology and Conservation
Canadian institutionsParks CanadaUniversity of AlbertaWilfrid Laurier University
FundersMitacs
KeywordsWildlifeVisitor patternRecreationNational parkGeographyWildlife tourismHuman–wildlife conflictEnvironmental educationTourismWildlife managementWildlife conservationEnvironmental planningEnvironmental resource managementEnvironmental protectionEcotourismEcologyArchaeologyEnvironmental science

Abstract

fetched live from OpenAlex

Biospheres are working landscapes that promote conservation and sustainable land-use while also providing space for outdoor recreation, environmental education, and research. This study focuses on Elk Island National Park in Alberta, Canada, which is part of the Beaver Hills Biosphere. The park is home to bison and black bears and growing visitor numbers have increased the potential for human-wildlife conflict. With a focus on the promotion of human-wildlife coexistence, this study takes a mixed-methods approach to develop and evaluate an environmental education program targeted to improve visitor awareness about safety around bison and bears at Elk Island National Park. The program was found to be effective in teaching visitors about safe behaviors around wildlife and key themes arose about important learning outcomes. In particular, the findings indicate interpretation and environmental education programs have the potential to increase awareness about safety for both humans and wildlife and shift away from more human-centric perceptions.

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.087
Threshold uncertainty score0.322

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.047
GPT teacher head0.306
Teacher spread0.259 · 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