McMaster Undergraduate Society for the Chemical Sciences Summer Research Symposium 2024
Bibliographic record
Abstract
The MUSCS (McMaster Undergraduate Society for the Chemical Sciences) Summer Research Symposium is a one-day, student run, undergraduate research symposium. In McMaster University’s Department of Chemistry & Chemical Biology, many undergraduate students participate in research during the Spring and Summer terms. Undergraduate students hold positions in research groups as scholarship recipients, research assistants, cooperative education students, and project course students. Despite the vast amounts of undergraduate research occurring annually, undergraduate students rarely have opportunities to communicate their work. The MUSCS Summer Research Symposium aims to give undergraduate students from McMaster’s Department of Chemistry & Chemical Biology a platform to share the research they conducted over the previous summer. The 2024 symposium was held on September 29th, 2024, with over sixty attendees. In this event, 12 students presented work from many fields of chemistry (e.g., organic chemistry, chemical biology, theoretical chemistry). The symposium also featured two keynote presentations from professors in the department. A judging panel, comprised of graduate students, provided feedback to student presenters and awarded prizes to the top three presentations. This symposium will become an annual event in the department, and operate next year to include feedback from presenters, attendees, judges and professors.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.387 | 0.153 |
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".