Benefits and principles of the Biological Survey of Canada: a model for scientific cooperation
Bibliographic record
Abstract
Abstract For 40 years, the Biological Survey of Canada (BSC) has encouraged and organised studies of the arthropod fauna of Canada, through the wide involvement of the scientific community and the leadership of an expert steering committee. The benefits of the BSC to science include the completion of major cooperative projects to acquire and synthesise knowledge (documenting faunas in the Yukon, Canadian grasslands, and other significant regions and habitats), the assembly and organisation of information and specimens, and improved communication among entomologists. Its efforts have led to valuable monographs, scientific briefs, newsletters, and other products summarised here, including documents that are also useful to those outside entomology. Key operating principles of the BSC are identified. In particular, decisions come from broadly based scientific considerations, an approach to understanding the fauna that guarantees the scientific relevance of the work and is not offset by political or other influences. Core work is planned over the long term to ensure collaboration, focus, efficiency, integrity, quality, productivity, and delivery. The achievements of the BSC over many years confirm the effectiveness of this model for scientific cooperation.
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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 | 0.042 | 0.057 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.023 | 0.045 |
| Scholarly communication | 0.020 | 0.009 |
| Open science | 0.003 | 0.012 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.009 | 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".