Making sense of site index estimates in British Columbia: A quick look at the big picture
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Site index remains the primary estimate of forest site productivity used throughout British Columbia and around the world. Forest managers often need a better understanding of how various site index estimates are derived in order to effectively apply them in operational settings. Historically, most site index estimates in Canada were derived from the photo-interpreted estimates of stand height and age found in extensive inventories. However, a wider range of data sources and site index tools now make both direct and indirect estimation of site index possible. Consequently, several different site index estimates may exist for any given hectare. The most prominent example involves comparisons of site index estimates derived from natural stand (old-growth) inventories versus the higher estimates frequently observed in post-harvest second-growth stands. These differences can have positive implications for timber supply. An understanding of site tree selection is essential when choosing the best available site index estimate for a given application.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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 it