MétaCan
Menu
Back to cohort
Record W4311611321 · doi:10.1079/9781800620544.0010

Negative Impacts on Tourism of Yellow Jackets (<i>Vespula germanica</i>) in Wilderness Areas of Chile

2022· book-chapter· en· W4311611321 on OpenAlexaboutno aff
Claudia Cerda, Ana Araos, Íñigo Bidegain

Bibliographic record

VenueCABI eBooks · 2022
Typebook-chapter
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsnot available
Fundersnot available
KeywordsInvasive speciesIntroduced speciesTourismBiologyGeographyEcologyHarmWildernessArchaeology

Abstract

fetched live from OpenAlex

Invasions by insects are numerous worldwide. Vespula is a small genus of social wasps that can generate severe impacts in wild areas, disrupting ecosystem processes, preying on native arthropod species and small mammals, and causing harm to tourists. The yellow jacket (Vespula germanica) is an alien species introduced in several countries such as New Zealand, Australia, South Africa, the USA, Canada, Chile and Argentina. In Chile, severe impacts generated by this species have been identified, although their quantification and valuation are still scarce. Tourism is affected by the presence of yellow jackets as tourists can experience harm from them, such as bites while camping or at picnic sites. In addition, the tourist quality of experience can be negatively affected when yellow jackets affect native species they want to protect or see. These factors can compromise tourist visitation, affecting protected areas’ revenue. In this chapter, we present impacts related to tourism caused by yellow jackets in wild areas of Chile. Furthermore, we provide some economic estimations of such effects based on previous work developed by the authors of this chapter. Finally, we visualize future challenges for the management of this invasive species.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.650
Threshold uncertainty score1.000

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.031
GPT teacher head0.286
Teacher spread0.255 · 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 designTheoretical or conceptual
Domainnot available
GenreOther

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

Citations1
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCABI eBooksSame topicAnimal and Plant Science EducationFrench-language works237,207