Crossing boundaries and building bridges: integrative zoology
Bibliographic record
Abstract
The invited papers in this special issue highlight contributions to the symposium with the same title, held at Genomes to Biomes: the First Joint Meeting of the Canadian Society for Ecology and Evolution, the Canadian Society of Zoologists, and the Society of Canadian Limnologists. Today, leading researchers cross boundaries between layers of biological organization and traditional areas of expertise, and increasingly reach beyond their historical role in society to serve as public educators and science advocates. This series includes reviews of the integrative study of animals ranging from the very small (the world’s southernmost insect) to the very large (rorqual whales), a review on using ancient DNA to elucidate the physiology of long-extinct animals, and research articles that take us from the proteomic response of honey bees to Israeli acute paralysis virus (IAPV) infection to the geographic spread of a harmful invasive earthworm in the boreal forest.
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 | 0.012 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.005 |
| Science and technology studies | 0.005 | 0.032 |
| Scholarly communication | 0.013 | 0.028 |
| Open science | 0.003 | 0.008 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".