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Record W176553770

THE CO-EXISTING WITH COYOTES PROGRAM IN VANCOUVER, B.C.

2007· article· en· W176553770 on OpenAlexaboutno aff
Robyn E. Worcester, Robert Boelens

Bibliographic record

VenueLincoln (University of Nebraska) · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHuman-Animal Interaction Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhoneSurpriseGeographyPublic parkPublic relationsPsychologyPolitical scienceEnvironmental planningCommunication
DOInot available

Abstract

fetched live from OpenAlex

When coyotes first arrived in Vancouver, BC they brought surprise, myths, and concern to the public as they grew comfortable in our city parks, golf courses, and neighborhoods. The Co-existing with Coyotes (CWC) program was created in 2001 and is based on the recommendations of a research project about public perceptions on urban coyotes. This program aims to reduce conflict between coyotes, pets, and people by providing information to both targeted and general audiences as well as providing a direct response to individual coyotes that are starting to, or are displaying, behavior of concern. The general public is reached through an information phone line, the distribution of brochures and posters, website resources, and permanent signs in parks and green spaces. Specific audiences are taught through the 'Coyotes 101' school program, interpretive walks, and presence at public events. Program staff coordinate with public agencies to locate, evaluate, and use non-lethal deterrents whenever possible with problem coyotes. The CWC program has begun its 7th year of operation and has played a key role in reducing conflict between people and coyotes in the greater Vancouver area.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score0.985

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 head0.017
GPT teacher head0.315
Teacher spread0.298 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations6
Published2007
Admission routes1
Has abstractyes

Explore more

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