Grylloblattids in managed forests of South-central British Columbia
Bibliographic record
Abstract
We collected 147 specimens of grylloblattids (Grylloblatta campodeiformis) in pitfall traps in subalpine spruce-fir forest and lower elevation cedar-hemlock forest at two study sites in south-central British Columbia, Canada. Grylloblattids are of conservation interest because of the high degree of endemism in western North America and because little is known of the ecology of these insects. Mature grylloblattid individuals were caught primarily in early spring or late fall, while immature individuals were caught in traps set under the snow in winter. Grylloblattids occurred in clearcuts, partial cuts and uncut forest at both sites. Year-round collections of grylloblattids from a variety of forest habitats have not previously been reported. However, the insects were rare at one study site in old clearcuts and had different seasonal patterns of captures in recent clearcuts with intensive site preparation compared to partially-cut or uncut areas. At a second study site, they showed an affinity for cutblock edges and small patch cut harvest treatments that produce abundant edge. No grylloblattids were collected during similar sampling at a third site in dry Douglas-fir (Pseudotsuga menziesii) forest. The unexpected abundance of grylloblattids at two sites suggests that they may be widespread in wetter forest sites, but dry forests with low snowfall may act as a geographic barrier. Grylloblattids appear to tolerate or benefit from forest harvesting, other than in large clearcuts with intensive site preparation.
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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 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".