Bibliographic record
Abstract
aspen and white spruce are within the dominant and co-dominant crown classes. Mixed species stands provide options for creating a wide variety of future stand conditions. Forest manag-ers are increasingly being asked to consider and apply a diversity of silviculture systems to address the variety of social, economic and ecological values found in forest ecosystems. A widespread and distinctive feature of the boreal forest are mixed stands of white spruce and trembling aspen, often referred to as ‘mixedwoods’. These can be horizontal mixtures of white spruce and aspen trees (Photo 1) or vertical mixtures where the white spruce are growing under taller aspen (Photo 2). An almost infinite number of combinations can be found, reflecting the type and intensity of disturbance, vegetation on site, seed sources and ecological characteristics of the plant spe-cies (Lieffers et al. 1996). The Canadian Forest Service established a number of partial cutting trials in the boreal mixedwoods of western Canada between 1924 and the mid 1960’s (e.g. Ball and
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) | 0.001 | 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 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".