Ordell Steen Ministry of Forests
Bibliographic record
Abstract
ii Mountain pine beetle (MPB) and fire are the two major natural disturbance agents for lodgepole pine in the IDF, SBS, SBPS, ESSF, and MS zones of BC. MPB-induced tree mortality strongly influences forest dynamics, both as a natural thinning agent, and by changing the fuel loading in stands, thus affecting fire behaviour. To accurately project impacts of MPB on lodgepole pine ecosystems, models of forest stand dynamics, MPB hazard, fuels succession, and fire behavior potential need to be linked together. Empirical data are needed on levels of mortality, growth of residual stands, fuel loading and regeneration to effectively calibrate and test the models in a variety of stands affected by MPB. This report covers the second year of the study continuing the work of Dr. Terry Shore (CFS-PFC) who investigated the effects of the 1980ís MPB epidemic on lodgepole pine forests. In 1987/88, study sites were established in 30, 6, and 5 stands respectively in the Cariboo, Kamloops, and Nelson Forest Regions. Due to subsequent logging and wildfire, we were only able to resample 15 Cariboo stands, 4 in Kamloops and 1 in the Nelson Forest Regions in 2001.
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 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 | 0.000 | 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) | 0.002 | 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 teacher head, 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".