Invertebrate Terrestrial Diversity Along a Gravel Road on Barrie Island, Ontario, Canada
Bibliographic record
Abstract
Although roads have been a part of our landscape for hundreds of years, their impact on the plant and animal populations has only recently been studied. We examined the effect a gravel road had on terrestrial arthropod diversity in the Barrie Islands, Canada. Over a ten-week period during the summer of 1999 we systematically sampled ground and aerial terrestrial arthropods at 5, 10 and 15 m from a 250 m stretch of road. We collected nearly 5,000 insects the majority of which were Coleoptera, Diptera and Hymenoptera. We collected over 2,000 non-insect invertebrates that included representatives from the classes Gastropoda, Annelida, Arachnida, Crustacea, and Diplopoda. There were significantly more individuals at 5 m from the road than at 10 or 15 m. Our results show that invertebrate diversity indices were similar at 5, 10 and 15 m distances from the road. The similar diversity indices may reflect the level to which we keyed out invertebrates (Order) and had we keyed specimens to Family might have found greater differences. Another possibility is that over time invertebrate populations return to pre-disturbance levels along roads that experience limited vehicular traffic.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 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".