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Record W3172363987 · doi:10.11575/prism/38858

University of Calgary - Zoology 435 Insect Survey Report

2021· article· en· W3172363987 on OpenAlexaboutno aff
Mindi M. Summers, Arminty Clarke, Malaika Abid, A R Juan Aguilar, Basma Akhter, Charly Archibald, Noor Arfeen, Abdul Asim, Kiran Aujla, Daniel Baek, Armaan Bhatia, T Chughtai, Joseph De Jesus, Kaitlyn Dornstauder, Kevin K. Duclos, Zeyad Elkhair, Rachel Ellis, Arthur Felker, Jordann Fernandes, Zach Fernandes, Taylor Ford-Sahibzada, Lucia Fu, Natalia Ganson, G.F. Gee, Kamon Geyer, Mohamed Ghanduri, Elizabeth A. L. Gillis, Rowan Grondin, Emily Hall, Christina Hansen, Marissa C. Hansen, Hassan Hatoum, Paige Hess, Courtney Hewitt, Rebecca Innes, M R Johnson, K Hurlstone Jones, Sarah Jones, Ihncheol Jung, Melody Kaya, Geeta Kilari, Meghana Kompally, Nikki R. Kong, Catherine Kuervers, Montana Marsh, Caleb McCaw, Megan Mercia, Stephanie Mogensen, Shahaanaa Mohanraj, Tobyn Neame, Allie Neill, Nancy Ngo, Kaigh Nugent, Christina Nykyforuk, Sayo Ogunfowora, Kyle F. Paradis, K. K. Parrish, Abbie Paulson, Erika Pearson, E. B. Pedersen, Hannah Porter, Urouj Rashid, Julia Rawleigh, Emily Roadhouse, Julian Schach, Michaela Seal, Mojib Sherbaz, Sarah Skarsgard, Nolan Sun, J. Tigchelaar, Tammy Tran, Sarah Vermaak, Brenten Verycrusse, Ethan Waine, Fatima Warraich, Madeline Watts, Sarah Wiley, Laura Willumsen, J. P. S. Wong, Julia MW Wong, Deen Dayal Yadav, Kirstin Young, Zhi Yong Zhao

Bibliographic record

VenuePRISM (University of Calgary) · 2021
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsZoologyBiologyGeography

Abstract

fetched live from OpenAlex

Students enrolled in Zoology 435 – Entomology, during fall term 2020 conducted a biodiversity survey of insects in the City of Calgary and their backyards in a variety of localities. Students collected insects where permits and permissions were available, and took digital observations for the iNaturalist platform from all localities.

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: none
Teacher disagreement score0.410
Threshold uncertainty score0.824

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0530.012

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 head0.012
GPT teacher head0.182
Teacher spread0.170 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

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