Pollinator activity and floral variation of Sable Island, Nova Scotia
Bibliographic record
Abstract
Pollinators provide an important service to ecosystems worldwide.This includes Sable Island, located in the North Atlantic Ocean ~160 km offshore Nova Scotia.Two plant communities on Sable Island, heath and marram grassland, were compared to determine pollinator foraging activity within each community.For sampling, large 100 × 200 m sites were set up with several smaller 5 × 5 m sampling plots within.Pollinator visits to flowers in a 30-minute time period were recorded, along with floral resources, so a comparison between communities could be made in both July and August.In marram, 39 and 19 unique pollinator taxa visited flowers in July and August, respectively, and in heath, 22 and 29 unique pollinator taxa visited flowers in July and August, respectively, with seven pollinator taxa found in both plant communities.Statistical analysis showed no significant differences in average number of pollinator visits and pollinator diversity between the two communities in July, though in August heath had significantly more pollinator visits and diversity.Many pollinators found during the study included non-bee pollinators, making up 46% of visits in the heath and 79% of visits in the marram.Based on these results, I concluded that the non-bee pollinators are more important to Sable Island than once thought, and both plant communities contain diverse assemblages of pollinators.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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; 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".