A Ten-Year Study of the Climatology of Melanoplus Mexicanus Mexicanus (Sauss.) (Orthoptera: Acrididae) in Saskatchewan1
Bibliographic record
Abstract
High correlation coefficients between population indexes of adults of Melanoplus mexicanus mexicanus (Sauss) in various areas of Saskatchewan in the years 1943 to 1952 and records of weather factors in the same areas up to 14 months earlier suggest causal relationships The most critical months were June, August, and September of the previous year and June of the current year, the periods of hatching, nymphal development, oviposition, and hatching July was the least important of the summer months Temperature, especially daily minima, influenced later populations more than any other weather factor, during the previous June and August, and daily maxima during the previous August and the current June Sunshine was important during August and especially September. Correlation with rainfall during the previous August and September was high and negative. Evaporation showed erratic correlation.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".