Range plant community types and carrying capacity for the montane subregion : fifth approximation /
Bibliographic record
Abstract
Photo 1. Rolling topography of the Montane subregion: This illustrates the grassland-shrubland and grassland-forest ecotones of the Montane subregion.How to use guide 4 Results 41 Montane Grassland Ecology 42 Key to native grasslands 5 1 Key to grassland community types in the Banff and Jasper Mountain ecodistricts 53 Key to the grassland communities in the Cypress Hills ecodistrict 54 A. Banff and Jasper Mountain ecodistricts grassland community types 55 Al .Fringed sage/Junegrass 56 A2.Northern wheatgrass-Sheep fescue 57 A3.Small-leaved everlasting/Junegrass 58 A4.Creeping juniper/Northern wheat grass-Columbia needle grass 59 A5.Prairie selaginella/Richardson needlegrass 60 A6.Kentucky bluegrass-June grass/Dandelion 6 1 A7.Bearberry-Juniper 62 A8.Prickly rose-Snowberry 63 Ya Ha Tinda Area 64 A9.Tufted hairgrass-Sedge 65 A 10. Bog birch/Sedge-Rough fescue 66 All.Rough fescue-Fringed brome-Sedge 67 A 12. Rough fescue-Sedge-Junegrass 68 A13.Sedge-Junegrass 69 A 14. Creeping red fescue-Timothy 70 B. Blairmore and Morley Foothills ecodistricts grassland community types 71 v B 1 .Rough fescue-Idaho fescue-Parry oatgrass B2.Idaho fescue-Parry oatgrass-Rough fescue B3.Bluebunch wheatgrass-Sedge B4.Rough fescue-Sedge/Bearberry B5.Big sagebrush/B.wheatgrass-Sedge B6.Snowberry-Rose-Saskatoon/Bearberry B7.Pinegrass-Hairy wildrye/Strawberry B8.Douglas fir/Idaho fescue-Rough fescue B9.Douglas fir/Idaho fescue-Sandberg bluegrass B 1 0. Aw/Strawberry/Rough fescue 1 B 1 1 .Thimbleberry brush B 1 2. Beaked-Water Sedge B12a.Awned Sedge B 1 3 .Tufted hairgrass-Baltic rush 5 B13a.Baltic rush B14.Forb meadows B 1 5 .Rough fescue-Hairy wildrye 8 B 1 6.Big sagebrush-Buckthorn/Kentucky bluegrass B17.Creeping spike rush B 1 8. Small fruited bulrush 1 B 19. Great bulrush B20.Cattail 93 C. Blairmore and Morley Foothills ecodistricts disturbed grassland community types 94 C 1 .Idaho fescue-Parry oatgrass-Sedge 95 C2.Canada bluegrass-Rough fescue 96 C3.Kentucky bluegrass-Rough fescue 97 C4.Kentucky bluegrass-Timothy/Dandelion 98 C5.Smooth brome-Kentucky bluegrass 99 C6.Blunt sedge/Little clubmoss/Moss phlox 1 00 C7.Creeping red fescue/Dandelion-Clover 101 C8 .Northern wheatgrass-Kentucky bluegrass 1 02 C9.Rough fescue-Kentucky bluegrass 103 C 1 0. Rough fescue-Sedge-Mountain brome 1 04 Cll Snowberry/Kentucky bluegrass 105 C 1 2 Aw/Orchardgrass-Kentucky bluegrass 1 06 D. Montane Shrubland ecology 107 Key to Montane shrublands 1 09 VI D 1 .Yellow mountain avens-River alder/Low forb 1 1 2 D2.Yellow mountain avens/Junegrass 1 1 3 D2a.Drummond's willow 1 14 D3 .Bebb willow/Hairy wildrye 1 1 5 D3a Bebb willow/Sedge 1 1 6 D4.Bebb willow/Kentucky bluegrass 1 1 7 D5.Green alder-Scouler's willow-Wild red raspberry 118 D6.Flat leaved willow/Quackgrass-Kentucky bluegrass 1 1 9 D7.Flat leaved willow/Horsetail/Sedge 1 20 D8.Myrtle leaved willow/Sedge 121 D9.Basket willow/Sedge 1 22 D9a.Basket willow/Kentucky bluegrass 1 23 D 1 0. Dwarf birch-Shrubby cinquefoil/Northern valerian/Sedge 1 24 D 1 1 .White spruce-Willow/Water sedge/Golden moss 1 25 D12.Black spruce/Myrtle leaved willow/Wire rush-Sedge/Moss 126 D13.Water birch-Smooth willow/Pinegrass 127 D 1 4. Hawthorn-Snowberry/Kentucky bluegrass 1 28 Montane forest ecology 129 E. Coniferous community types 135 Key to the Coniferous Community types of the Montane subregion 136 El.Pf/Rough fescue 137 E2.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".