181 Chapter 8 Insects of Canola, Mustard,
Bibliographic record
Abstract
Abstract. Oilseed crops, particularly canola, Brassica napus L., and B. rapa L., are now a major part of the prairie landscape in Canada. A diverse assemblage of arthropods can be found in areas devoted to oilseed crop production, either feeding on a resource provided by the crop, or feeding on other insects that have been attracted to these areas. Some insects prefer to feed on other plants that are growing in fields of oilseed crops and will feed more readily on the oilseed crop only when the more preferred host diminishes or is destroyed. The principal orders of insects found in fields of oilseed crops include Orthoptera, Thysanoptera, Hemiptera, Coleoptera, Lepidoptera, Diptera, and Hymenoptera. Several species of spiders and mites also comprise a substantial component of the arthropod biodiversity of oilseed crops. Many other species of insects that are not discussed in this chapter include species that feed on crop residue, seeds on the soil surface from various plants, or soil invertebrates. More research is needed to fully understand the diversity of the insect community associated with oilseed crops in the Canadian prairies. Résumé. Les cultures d’oléagineux — notamment le canola, le Brassica napus L. et le B. rapa L. — constituent aujourd’hui un élément majeur du paysage des prairies canadiennes. On trouve dans les zones consacrées ces cultures une grande variété d’arthropodes qui dépendent des ressources qu’elles produisent, ou d’autres insectes attirés par ces ressources. Certains insectes préfèrent se nourrir d’autres plantes présentes dans les champs d’oléagineux et ne s’attaquent aux oléagineux que lorsque leur hôte préféré se raréfie ou est détruit. Les ordres
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.009 |
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".