Bibliographic record
Abstract
Thereva albopilosa Kröber Specimens examined (16). BC: Atlin, Ashcroft, Three Sisters Creek; Bennett Lake; Bridge Lake, Scot Lake FSR; Clinton, Riley Dam FSR; Fort St. John; Oliver, Mount Baldy. YT: Kluane National Park, Kaskawulsh River; Spirit Lake, fen to south; Sulphur Lake; Whitehorse, W of Copper Ridge; Whitehorse, 5 km N; Whitehorse, Riverdale. RBCM, ROME. Database and literature records (6). BC: Burns Lake; Keremeos, Twin Lakes; Lillooet; Osoyoos, Mount Baldy Summit Road. YT: Whitehorse. CNCI, SEM. Conservation status. BC: S3S4, YT: S4 Distributional notes. Thereva albopilosa ranges east of the Coast Mountains in British Columbia: Okanagan Valley (Twin Lakes, Oliver), north to Lillooet on the Fraser River, Burns Lake on the central plateau, Peace River region (Fort St. John), and Bennett Lake near the Yukon border. As the species occurs in the Yukon and the Alberta Rockies, it certainly ranges throughout the valleys, plateaus and mountains of most of British Columbia east of the Coast Mountains. In the Yukon, known locations are in the southwest (Kluane, Whitehorse, Sulphur Lake). Ecoprovinces and other designations. BC: Southern Interior, Central Interior, Northern Boreal Mountains, Boreal Plains. YT: Boreal Cordillera. Range. Cordilleran. Southern Yukon south through British Columbia and Alberta to Nevada and New Mexico (Webb et al. 2013). Biological notes. Flight period: 15 June–29 July. Thereva albopilosa has been collected in a small grassland adjacent to Pinus contorta woods, on sand dunes with sparse Pinus contorta and moss/lichen crust/ Arctostaphylos uva-ursi ground cover, in a rich marl fen, and on a roadside rock outcrop. Forest and steppe habitats are the norm (Holston & Irwin 2005).
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.055 | 0.020 |
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".