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Record W4214915308 · doi:10.32473/edis-4h419-2022

Welcome to the Hive! Honey Bee 4-H Project Book

2022· article· en· W4214915308 on OpenAlexaff
M. Blake Hammond, Amy T. Vu, Mary Bammer, Emily Helton, Karen Henry, Jessica Sullivan, Jamie Ellis

Bibliographic record

VenueEDIS · 2022
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicInsect and Pesticide Research
Canadian institutionsCascades (Canada)
Fundersnot available
KeywordsBeekeepingHoney beeHoney BeesSection (typography)Library scienceSociologyBiologyEcologyAdvertisingComputer scienceBusiness

Abstract

fetched live from OpenAlex

The purpose of this publication is to provide a 4-H project book that discusses honey bees and their importance to our nation’s agriculture. The intent is to introduce the world of honey bees to youth ages 8 to 12, with or without any previous beekeeping background or knowledge. This book consists of six sections that familiarize youth with the honey bee’s basic anatomy and life cycle, the three members of the honey bee colony, their roles and responsibilities, and colony communication. Each section has been designed to give youth a brief introduction to a topic and offers activities building on that topic. Written by Megan Hammond, Amy T. Vu, Mary Bammer, Emily Helton, Karen Henry, Jessica Sullivan, and James D. Ellis; 56 pp.https://edis.ifas.ufl.edu/4h419

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.339
Threshold uncertainty score0.942

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.3390.215

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 head0.038
GPT teacher head0.274
Teacher spread0.236 · 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.

Study designNot applicable
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

Citations0
Published2022
Admission routes1
Has abstractyes

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