Aeshna canadensis (Canada darner) dragonfly phenology and migration in Minnesota and Canada, 2017-2019
Bibliographic record
Abstract
The purpose of this dataset was to investigate whether Aeshna canadensis (Canada darner) is a migratory dragonfly species by combining phenological observations with a dragonfly wing stable hydrogen isotope isoscape analysis. Phenological data were collected from three study ponds (Washington County; 45.17°N, -92.84°W) in the St. Croix River Valley in central Minnesota. We collected emerging teneral dragonflies from May - October and observed adult flight behavior. We also collected adult dragonflies on the wing. Additionally, adult Canada darners were collected in northern Minnesota (Itasca State Park and the western shore of Lake Superior) and we accessed specimens in Canadian museum collections (Royal Ontario Museum and the Canadian National Collection of Insects and Arachnids). We conducted probabilistic assignment to natal origins by measuring stable hydrogen isotope values of wing tissue (δ2Hw) of collected dragonflies. These analyses were done at the Center for Stable Isotopes, University of New Mexico and at the Laboratory for Stable Isotope Science – Advanced Facility for Avian Research.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".