Demography, behavior, and morphology of the Northern Barrens tiger beetle, <i>Cicindela patruela patruela</i> (Coleoptera: Carabidae), on Île-aux-Allumettes, Quebec
Bibliographic record
Abstract
Abstract The Northern Barrens tiger beetle (Cicindela patruela patruela, Dejean 1825) (Coleoptera: Carabidae) is globally rare and endangered in Canada. We know very little about this species’ behavioral ecology and despite there being only 2 remaining populations in Canada, we know very little about either’s demography. Here, we use capture–mark–recapture methods to estimate population size and movement of individuals on Île-aux-Allumettes (Quebec, Canada). We found that the population on Île-aux-Allumettes is small—approximately 102 individuals—but this appears to be typical for this species and tiger beetles in general. Beetles on Île-aux-Allumettes traveled approximately 33 m per day with no observed difference between the sexes in mobility. We did not find any morphological correlates of mobility, but we did find that females are significantly wider, but not longer, than males. Because the number of C. p. patruela on Île-aux-Allumettes is small and the population is isolated, we recommend that managers continue to monitor the population and consider translocations to augment population numbers and to reduce the negative consequences of demographic and genetic stochasticity, such as inbreeding.
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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 | 0.001 | 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) | 0.003 | 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".