The unpredictably eruptive dynamics of spruce budworm populations in eastern Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract We examine four historical population data sets, each spanning 28–46 years in length, from three locations in eastern Canada, showing that spruce budworm through the period 1930–1997 has exhibited eruptive (i.e., nonlinear) growth dynamics. According to our analysis of density‐dependent recruitment curves, any of several factors, both deterministic and stochastic, could be sufficient to trigger outbreaks. For this reason, eruption timing is inherently unpredictable. There is little evidence that spruce budworm population growth rates are near‐linear second‐order density‐dependent, as required by Moran's Theorem for cycle synchronization. Rather, growth rates are nonlinear first‐order density‐dependent, which makes population eruptions difficult to synchronize by any mechanism, including spatially autocorrelated weather effects and dispersal.
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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 it