Bibliographic record
Abstract
The world population continues to grow rapidly while also demanding a safe, secure food supply. This supply is produced on a limited soil and water base which needs to be protected today and for future generations. By adapting to the control methods that are being used, current and new pests are changing and thriving under the conditions we provide while we produce food. A resource efficient and sustainable food production chain requires that producers of crops and livestock have a selection of safe, effective tools to manage pests to acceptable levels, and to minimize their ability to adapt. At present, the problem exists that those with responsibility for pest management like government policy makers, government regulators, the pest control industry, research and expert committees, food producers and consumers, lack a long-term strategic plan on how to manage pests safely and effectively. Such a strategic plan would clearly identify effective pest management as a major key, one that would give food producers the means of providing for food security while maintaining soil quality and wildlife habitat. Because of the speed at which pest resistance or adaptation is occurring, the process of developing the long-term strategy must be put in place quickly.
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) | 0.000 | 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 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".