Principles and concepts of management.
Bibliographic record
Abstract
In this section, an introduction to management of mountain pine beetle (Dendroctonus ponderosae Hopk. [Coleoptera: Scolytidae]) and its host is provided and basic principles and concepts of management are described. Preventive management is used in Western Canada to reduce tree, stand and landscape susceptibility to the mountain pine beetle. As well, direct control strategies and tactics are used to reduce mountain pine beetle populations. The two approaches are combined and form an integral part of a management plan. Forest protection and management of forest health are vital components of land management to achieve stated objectives. Plans to manage insects, including the mountain pine beetle, are developed to support land management objectives and form an integral part of land management plans. The principles for reducing losses of lodgepole pine (Pinus contorta Dougl. ex Loud. var. latifolia Engelm.) to the mountain pine beetle must be based on the main features of beetle population dynamics, especially the evolved insect-host interaction. Key features of this interaction are the effects of tree, stand, and site parameters on tree and stand susceptibility, the process of population change from the endemic to the epidemic state, and the role of beetle population size and spatial distribution of susceptible stands in the development and maintenance of outbreaks at the landscape level. These and other aspects of the insect host interaction are described in detail elsewhere in this volume.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.018 | 0.010 |
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".