The Science Atlantic 2020 Aquaculture & Fisheries and Biology Conference
Bibliographic record
Abstract
Science Atlantic is a charitable association for scientists, university faculty, and science students that has been operating in Atlantic Canada since 1962. The association comprises 13 academic institutions and has a mandate to provide opportunities that foster and enrich students’ academic experiences; support and inspire researchers, educators, and the broader scientific community; and represent a collective voice to address important regional science issues. In support of this mandate, the Science Atlantic Aquaculture & Fisheries and Biology Committees host a joint annual conference that gives undergraduate students from the Atlantic region a chance to network as well as present and discuss their research with colleagues. Unfortunately, the 2020 conference slated for March 14-15 at Cape Breton University was canceled due to the Covid19 pandemic. The decision to cancel happened the day before the conference was set to begin. Because students were denied the opportunity to present their research we felt it was important to move forward with publishing the abstracts as a way of helping make up for this missed opportunity and to communicate their research results with the broader science community. The following are conference abstracts categorized into three parts: oral presentation in biology, oral presentation in Aquaculture & Fisheries, and poster presentation
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.092 | 0.031 |
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".