An old-growth index for Douglas-fir stands in portions of the Interior Douglas-fir zone, central British Columbia
Bibliographic record
Abstract
We describe a quantitative old-growth index for Douglas-fir (Pseudotsuga menziesii var. glauca) stands in two Interior Douglas-fir (IDF) biogeoclimatic variants (dk3 and dk4) in the central interior of British Columbia. The index uses stand structure data including basal area of very large (≥ 57.5 cm DBH) and large (≥ 37.5 cm DBH) trees, density of small (< 27.5 cm DBH) trees, tree size variability, canopy complexity, density of declining and dead trees, and occurrence of canopy gaps. Three forms of the index were developed to accommodate different objectives and levels of data availability. Index values are grouped into four classes (early seral, mid-seral, mature, and old growth). Qualifiers of these classes provide additional descriptions of old-growth structural development as well as guidance for designing management practices to enhance old-growth development. A link is provided to a Microsoft Excel spreadsheet that can be used to calculate old-growth index values using each form of the index.
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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".