Classification of epilithic bryophyte communities in south-western British Columbia
Bibliographic record
Abstract
The present study attempts to classify the epilithic (=growing on rock) bryophyte vegetation of south-western British Columbia, Canada. During the summer field season of 1980 around 350 releves (=samples) were taken of bryophyte assemblages from rocky habitats that ranged in elevation from sea level to subalpine and alpine areas. Small scale variation was expressed in the segregation of various types of micro-environments on rocks, all characterized by their own bryophyte vegetation. On a larger scale, the releves of these epilithic bryophyte assemblages were divided into four major groups: (1) exposed, dry rocks (2) shaded, humid rocks (3) siliceous rocks along streams and (4) calcareous rocks. Within these major groups cluster analyses and tabular sorting, combined, were utilized to detect patterns in the data set. The subsequent recognition of groups of similar releves formed the basis for the segregation of separate vegetation units (syntaxa). These syntaxa were defined by diagnostic species (character and differential species) and further characterized by micro-site specificity of species and/or communities and their geographic distribution throughout the study area. Comparison to and integration in already existing classification schemes was attempted. In particular, floristic and sociological affinities assigned to the epilithic bryophyte associations in south western British Columbia were related to those in Europe. Where necessary and appropriate, new syntaxa were distinguished and defined. Finally, the application of ordination techniques, although limited in the present study, was utilized as an additional means to display and interpret patterns in the data set. The prior classification, paralleled with field data on ecological site characteristics, already showed some relationship between releves. This provided a basis for interpreting the ordinations, which, in turn, further expressed and clarified relationships of releves to one another and to the environment.
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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 | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".