217 Chapter 9 Arthropods of Cereal Crops in Canadian Grasslands
Bibliographic record
Abstract
Abstract. Cereal crops are a major aspect of the Canadian prairie landscape. This chapter focuses on insects of small grain cereals (wheat, oats, barley, and rye), but not on larger grains such as corn, which are less abundant on the Canadian prairies. Settlement of the Canadian prairies resulted in the replacement of vast amounts of native prairie plants with cereal crops. Many native insects adapted and flourished in this new habitat. Many alien insect species have also been accidentally introduced and are now pests of cereal crops. Other insects have been purposely introduced to regulate the populations of insect pests of cereal crops. Insect species are presented in feeding guilds in this chapter. Insects within a feeding guild feed on the same or a similar resource and may at times compete for this resource. Changes in cropping practices and varieties can also have an impact on the insect communities on cereal crops. Such interactions will also be described. Résumé. Les cultures de céréales occupent une place très importante dans le paysage des prairies canadiennes. Le présent chapitre porte principalement sur les insectes qui s’attaquent aux petites céréales (blé, avoine, orge et seigle), et non sur ceux qui se nourrissent de céréales à graines plus grosses — par exemple, le maïs — moins abondantes dans les prairies canadiennes. La colonisation des prairies canadiennes a entraîné le remplacement de vastes superficies de prairies indigènes par des cultures céréalières. Beaucoup d’insectes indigènes se sont adapté à ces nouvelles conditions et ont prospéré. Plusieurs espèces exotiques d’insectes ont également été introduites
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".