MétaCan
Menu
Back to cohort
Record W1520216114 · doi:10.1017/cbo9781139003339

The Management of Insects in Recreation and Tourism

2012· book· en· W1520216114 on OpenAlex
Raynald Harvey Lemelin, Alaine Auger, Adam Dodd, J. F. Lockwood, David L. Pearson, Edward M. Spevak, T. R. New, Michael J. Samways, Adrian Franklin, Akito Y. Kawahara, Jaret C. Daniels, Alan L. Yen, Ko Veltman, Glen T. Hvenegaard, C. Michael Hall, Forrest L. Mitchell, Kelsey Johansen, Matt Shardlow, Crystal M. Ernst, Jessica J. Rykken

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.

Bibliographic record

VenueCambridge University Press eBooks · 2012
Typebook
Languageen
FieldPsychology
TopicAnimal and Plant Science Education
Canadian institutionsLakehead University
Fundersnot available
KeywordsRecreationTourismAppealGeographyButterflyEntomologyBeautySociologyEnvironmental ethicsEcologyBiologyPolitical scienceAestheticsArtArchaeologyLaw

Abstract

fetched live from OpenAlex

Insects such as cockroaches, mosquitoes and bed-bugs are usually not highly sought amongst travellers or recreationists, yet each year, collectors, butterfly enthusiasts, dragonfly-hunters and apiarists collect, visit, document and raise insects for recreational purposes. Illustrating a range of human-insect encounters from an interdisciplinary perspective, this book provides the first insight into the booming industry of insect recreation. Case studies and examples demonstrate the appeal of insects, ranging from the captivating beauty of butterflies to the curious fascination of locust swarms, and challenge the notion that animals lacking anthropomorphic features hold little or no interest for humans. Throughout the book, the emphasis is on the innovators, the educators, the dedicated researchers and activists who, through collaboration across fields ranging from entomology to sociology and anthropology, have brought insects from the recreational fringes to the forefront of many conservation and leisure initiatives.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.910
Threshold uncertainty score0.349

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 head0.031
GPT teacher head0.241
Teacher spread0.211 · 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