Les mouvements éruptifs des fingillidés boréaux
Bibliographic record
Abstract
Irruptive movements of seed-eating birds, which are opportunistic and not geographically predictable, have proven difficult to study. Researchers are constrained by their unpredictability and the large spatial scale over which they occur. Despite their unpredictability, irruptive movements of boreal seed-eating birds usually occur in the fall, but unlike normal migration, they do not occur every year. Nomadic behaviour appears to be strongly related to food abundance (seeds) which can differ by more than 100 times from a low year to a high year. Without long term data from the boreal zone, patterns have not been fully elucidated. The first objective of this project is to establish if there are correlations between seed crop production and boreal fringilid abundance. Second, we want to establish if boreal finch abundance in the boreal zone during fall can be used as a predictive tool for winter abundance in southern Quebec. Common Redpoll (Acanthes flammea) abundance in southern Quebec was negatively correlated with white birch (Betula papyrifera) seed production in the north. White-Winged Crossbill (Loxia leucoptera) abundance in Tadoussac was positively correlated with White Spruce (Picea glauca) seed production but other unknown factors appear to be implicated, especially during low and average abundance years. Pine Grosbeak (Pinicola enucleator) abundance at Tadoussac was negatively correlated with Balsam Fir (Abies balsamea) seed production while Pine Siskin (Spinus pinus) and Boreal Chickadee (Poecile hudsonicus) abundances were not correlated with seed abundance of any particular species of tree. This study fills a gap in what is known about boreal finch irruptive migration by providing a better understanding of their nomadic movements.
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 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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.020 | 0.003 |
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".