109Davidsonia 14:4 Editorial Small, Fragmented and Local Ecosystems
Bibliographic record
Abstract
Krajina’s biogeoclimatic zone system (for review see Beil et al, 1976) for vegetation classification is one of the foundation frameworks for management of British Columbia’s forest. As with all systems, it has undergone considerable modification as more concise information and modern methods of vegetation analysis have been developed, but there is no doubt that it has provided a useful tool for those charged with planning forest harvest policy and practices. However, it is perhaps not as useful as a tool for small-scale management, because it does not work particularly well when dealing with ecosystems that are not on the successional path to the defined forest climax states. The local, often small scale, occurrence of serpentine soils is a case in point. The paper by Lewis and Bradfield in this issue reports substantial new floristic and ecological analyses about an ecosystem that can be defined as rare, if not necessarily endangered. It is almost 25 years since Kruckeberg’s paper appeared in Davidsonia (Kruckeberg, 1979) and the Lewis and Bradfield paper is the first of two, which we have invited, to report new developments in the study of serpentine flora and ecology. Lewis has agreed to prepare a paper, scheduled for 2004, based on his doctoral thesis research that will allow us to re-publish Kruckeberg’s article and present an update. We plan a series of papers on these ‘smaller ’ systems, including the much-fragmented Garry Oak system on Vancouver Island, the interior temperate rainforest on the eastern side of the Cariboo region, and the many coastal marshes on the Pacific rim. Conservation legislation in Canada, unlike that in the USA, has a strong emphasis on habitat conservation. We have an obligation to describe and document these more fragmented ecosystems so that their existence will be known, their importance understood and the enormous biological diversity,
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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 | 0.003 | 0.010 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.043 | 0.030 |
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".