Outreach in Omicron: A BHSC Outreach/External Case Competition 2022
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.016 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.027 | 0.005 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.011 | 0.008 |
| Insufficient payload (model declined to judge) | 0.035 | 0.003 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".