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Record W3082823622 · doi:10.1128/jmbe.v21i2.2211

The Course “Microbes and You”: A Concrete Example that Addresses the Urgent Need for Microbiology Literacy in Society

2020· article· en· W3082823622 on OpenAlex
Luc Trudel, Hélène Deveau, Cynthia Gagné-Thivierge, Steve J. Charette

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

VenueJournal of Microbiology and Biology Education · 2020
Typearticle
Languageen
FieldImmunology and Microbiology
TopicAlexander von Humboldt Studies
Canadian institutionsInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité Laval
Fundersnot available
KeywordsCourse (navigation)MicrobiologySet (abstract data type)Scientific literacyComputer scienceMedical educationMedicineMathematics educationBiologyEngineeringPsychologyScience education

Abstract

fetched live from OpenAlex

Microbiology literacy is essential for any world citizen, considering the major impacts that microorganisms have on our daily lives and health. Consequently, we have created a complete microbiology course available to the non-microbiology students at our university. This course, entitled "Microbes and You" is fully accessible online (in French only) and helps students advance their knowledge of microorganisms in a fun way. Before the course, most students are only aware of the negative role of microorganisms on our health, and this course teaches them that our relationship with microbes is more complex and possesses many advantages. In this article, we share our experience and the extremely positive response of the students. We hope to encourage other microbiologists to set up basic courses in microbiology for non-scientists, or scientists without basic knowledge in this science.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.879
Threshold uncertainty score0.614

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.046
GPT teacher head0.307
Teacher spread0.260 · 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