Bibliographic record
Abstract
Thereva aurofasciata Kröber Thereva nigripilosa Cole, described from Victoria, British Columbia, is a synonym (Holston & Irwin 2013). Specimens examined (33). BC: Alexandria; Arrow Lakes, Burton; Hope, Hunter Creek; Kamloops; Kamloops, Mount Lolo; Kilpoola Lake; Lac du Bois; Okanagan Falls, White Lake; Osoyoos; Osoyoos, Mt. Kobau (Fig. 17); Penticton, West Bench; Robson; Saanich, Rithet’s Bog; Spaist Mountain, Pimainus Lakes; Vernon, Becker Lake; Vernon, Cosen’s Bay. RBCM. Database and literature records (33). BC: Aspen Grove; Christina Lake; Cranbrook; Fernie, Kamloops, Lac la Hache; Manning Park, Blackwall Peak; Oliver; Pass Creek; Robson; Trinity Valley; Victoria; Victoria, Gordon Head. YT: Snafu Creek, Whitehorse. CASC, CNCI, MEI, OSUC, SEM. Conservation status. BC: S4, YT: SU Distributional notes. Thereva aurofasciata is relatively common across southern British Columbia, from Vancouver Island (Victoria) east to the Okanagan (Oliver, Vernon) and the East Kootenay (Cranbrook, Fernie), north to the Thompson Valley (Kamloops) and Cariboo (Lac la Hache). The species is probably more widespread in northern areas of the province because it is recorded from the southern Yukon (Whitehorse, Snafu Creek). Ecoprovinces and other designations. BC: Georgia Depression, Southern Interior, Southern Interior Mountains, Central Interior. YT: Boreal Cordillera. Range. Cordilleran. Yukon south through British Columbia and Alberta to California, Arizona, and New Mexico (Webb et al. 2013). Biological notes. Flight period:15 May–18August.The species has been collected in Artemisia / Pseudoroegneria grassland; open Pinus ponderosa / Pseudotsuga menziesii / Populus tremuloides woodland; an aspen draw in Pinus ponderosa woodland; and a fen with grasses, sedges, Salix, and Spiraea. Sites range from lowland habitats to subalpine meadows (Fig. 17). Holston & Irwin (2005) give typical locations as “forest and steppe habitats”.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".