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Record W2133056033 · doi:10.5558/tfc85593-4

Still invasive after all these years: Keeping gypsy moth out of British Columbia

2009· article· en· W2133056033 on OpenAlexafffundvenueabout
Vince Nealis

Bibliographic record

VenueThe Forestry Chronicle · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsCanadian Sport Centre PacificNatural Resources CanadaCanadian Forest Service
FundersCanadian Forest ServiceNatural Resources Canada
KeywordsGypsy mothCompromiseInvasive speciesOpposition (politics)Public policyAlien speciesIntroduced speciesGeographyPolitical scienceEcologyBiologyLaw

Abstract

fetched live from OpenAlex

The gypsy moth is an alien invasive insect in North America. In Canada, management objectives and approaches have often collided with public opposition and resulted in a shifting public policy. The history of this interaction between science and policy is best illustrated in British Columbia where gypsy moth remains unestablished after 30 years of repeated invasions and eradications. The case study provides unique lessons to improve science–public dialogue in achieving common socioeconomic objectives. It shows that despite the availability of sufficient scientific knowledge and technical capacity to reduce risk, the absence of effective risk communication can compromise the effectiveness of management action and increase the risk of invasion. Key words: pest management, invasive species, gypsy moth, science and policy

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.044
Threshold uncertainty score0.316

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.003
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.009
GPT teacher head0.213
Teacher spread0.204 · 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

Citations17
Published2009
Admission routes4
Has abstractyes

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