Bibliographic record
Abstract
74. Boreophilia nomensis (Casey) (Illustrations in Klimaszewski et al. 2021), Table 1 References. Casey 1910. Lohse et al. 1990. Gusarov 2003. Klimaszewski et al. 2016b, 2019, 2020, 2021. Distribution. Nearctic. Canada: BC, YT. USA: AK, NH (NSR). Collection and Habitat data. In NH found at high elevations in willow litter, and in dwarf Salix, Vaccinium, leatherleaf litter. Collected in August/September. In AK found in alpine tundra, and under rocks near snow fields. In Canada found in spruce and aspen forests with horsetail/shrub/grass undergrowth, and under rocks near snowfields (Klimaszewski et al. 2021). Material. USA, New Hampshire, Coos Co.: Mt. Washington, Alpine Garden, 7.VIII.1982, D.S. Chandler, sift willow litter, 1 male. Mt. Washington above tree line, 5200–5700’, 10.IX.1987, J.M. Campbell and A. Davies, dwarf Salix, Vaccinium, leatherleaf litter (CNC), 1 male. Comments. This record represents a disjunct extension in the distribution of this species, which is possibly a relict from the time of the last glaciation.
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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.030 | 0.018 |
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".