DeSCIpher 2021 Undergraduate Sciences Case Competition: Space Debris
Bibliographic record
Abstract
DeSCIpher: McMaster University Life Sciences Competition (MULSC) brings together undergraduate students of various science, technology, engineering, and mathematics (STEM) disciplines to collaboratively compete in a one-day competition. An integral aspect of this competition is the Inquiry Challenge, where a pressing issue is presented to all participants. In teams of three to four individuals, participants are asked to think of creative, evidence-based, and feasible solutions to the proposed prompt. In 2021, the Inquiry Challenge centered on ‘space debris’ and its detrimental effects on Earth. Participants were asked to find in-depth peer-reviewed articles from reputable sources to determine appropriate courses of action that address its issues. An infographic and short abstract were then prepared by the participants, to showcase their findings; the latter are presented in this abstract book. The top four abstracts were chosen based on a predetermined rubric. Overall, DeSCIpher hopes to highlight its commitment to knowledge and passion for the interdisciplinary sciences through its Inquiry Challenge, and the competition as a whole. The McMaster Students Union website featuring information about DeSCIpher can be reached at https://msumcmaster.ca/initiative/descipher/.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.006 |
| Science and technology studies | 0.003 | 0.008 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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; both teacher heads agree on what is shown here.
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".