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Record W3200671061 · doi:10.26685/urncst.326

2021 Connecting Young Minds (CYM) Undergraduate Research Conference: 5-Minute Research Presentations

2021· article· en· W3200671061 on OpenAlexafffundabout
Stephanie Bogdan, Zain H. Saleem, Michelle Gandelman

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics, Bioinformatics, and Biomedical Research
Canadian institutionsUniversity of Ottawa
FundersUniversity of Ottawa
KeywordsUndergraduate researchPresentation (obstetrics)Competition (biology)BreakoutUndergraduate studentPsychologyGraduate studentsMedical educationMathematics educationPedagogyMedicine

Abstract

fetched live from OpenAlex

Connecting Young Minds (CYM) is an annual bilingual student-led research conference held at the University of Ottawa. Our mission is to encourage undergraduate students to network with professors, present their research, and gain experience drafting scientific literature. The conference engages the interests of students in the sciences through presentations held by keynote speakers, interactive breakout rooms with graduate level students, and a research-based competition. Each year, CYM hosts a 5-minute research presentation competition in which ten candidates are selected by a panel of judges based on the submission of an abstract pertaining to their research. The competition provides an opportunity for undergraduate students to highlight their research findings to an audience and series of judges in a concise and engaging manner. Abstracts in this booklet were submitted by participants on a volunteer basis.

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)0.034
metaresearch head score (Gemma)0.023
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Scholarly communication, Research integrity
Consensus categoriesMetaresearch, Science and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.668
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0340.023
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.006
Science and technology studies0.0030.012
Scholarly communication0.0010.000
Open science0.0010.003
Research integrity0.0010.007
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 head0.103
GPT teacher head0.457
Teacher spread0.354 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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 routes3
Has abstractyes

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