Timber Trends on Private Lands in Western Oregon and Washington: A New Look
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
Abstract Market model projections of private harvest in the Douglas-fir region over the period to 2054 suggest that harvests in western Oregon could be sustained at or above recent levels for the full period with ending inventories at least as high as in 2004. Western Washington, in contrast, may face some harvest reductions, particularly on other private ownerships, as a result of high harvests in the 1980s and continued rapid land loss. Projected silvicultural regimes in both half-states shift toward more use of commercial thinning on all private ownerships. No trend in future log prices is foreseen. In policy simulations, applying Washington's riparian protection policy to western Oregon led to a 4.4% annual private harvest reduction. Extension to intermittent streams in western Washington reduced annual harvest by 1.9%. Quintupling national forest harvest across the region increased annual regional harvest by 3.2% with more than a quarter of the public increment offset by private harvest reductions.
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 | 0.000 | 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) | 0.000 | 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