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Record W4293827611 · doi:10.26685/urncst.414

Outreach in Omicron: A BHSC Outreach/External Case Competition 2022

2022· article· en· W4293827611 on OpenAlexaff
Aashna Agarwal, Vanshika Khaitan, Neil Lin, Elena Tataru, William Liu, Alexa Gruber

Bibliographic record

VenueUndergraduate Research in Natural and Clinical Science and Technology (URNCST) Journal · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicService-Learning and Community Engagement
Canadian institutionsMcMaster University
Fundersnot available
KeywordsOutreachMindsetCompetition (biology)SPARK (programming language)Public relationsPolitical scienceMedical educationPsychologyMedicineComputer science

Abstract

fetched live from OpenAlex

This “Outreach in Omicron” case competition, hosted by the BHSc Outreach and BHSS External committees at McMaster University, originated as an initiative to spark leadership and engagement by challenging students to develop an idea for a novel volunteer program within the Hamilton community. Following the COVID-19 pandemic and the return to a “new normal” in community programs, this type of thinking is crucial to provide necessary support to the many organizations within Hamilton that are supported by BHSc Outreach and the McMaster community. The following abstracts are representative of three proposals submitted for consideration for an opportunity to integrate one of them with a BHSc Outreach program during the upcoming year through this case competition. In doing so, this competition was intended to foster a positive, community-oriented mindset among McMaster students by providing an opportunity to directly contribute to the local Hamilton community.

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)0.027
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Research integrity
Consensus categoriesScience 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 score0.550
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0270.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0050.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.007
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 head0.084
GPT teacher head0.443
Teacher spread0.358 · 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
Published2022
Admission routes1
Has abstractyes

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