Bibliographic record
Abstract
Family AESHNIDAE (Darners / Les aeschnides). 24 species Aeshna canadensis Walker (Canada Darner / L’aeschne de Provancher) Aeshna clepsydra Say (Mottled Darner / L’aeschne clepsydre) Aeshna constricta Say (Lance-tipped Darner / L’aeschne cintrée) Aeshna eremita Scudder (Lake Darner / L’aeschne porte-crosses) Aeshna interrupta Walker (Variable Darner / L’aeschne domino) Aeshna interrupta interrupta Walker Aeshna interrupta lineata Walker Aeshna interrupta interna Walker Aeshna juncea (Linnaeus) americana Bartenev (Sedge Darner / L’aeschne des joncs) Aeshna palmata Hagen (Paddle-tailed Darner / L’aeschne palmée) Aeshna septentrionalis Burmeister (Azure Darner / L’aeschne septentrionale) Aeshna sitchensis Hagen (Zigzag Darner / L’aeschne zigzag) Aeshna subarctica Walker (Subarctic Darner / L’aeschne subarctique) Aeshna tuberculifera Walker (Black-tipped Darner / L’aeschne tuberculée) Aeshna umbrosa Walker (Shadow Darner / L’aeschne des pénombres) Aeshna umbrosa umbrosa Walker Aeshna umbrosa occidentalis Walker Aeshna verticalis Hagen (Green-striped Darner / L’aeschne verticale) Anax junius (Drury) (Common Green Darner / L’anax précoce) Anax longipes Hagen (Comet Darner / L’anax ardent) Basiaeschna janata (Say) (Springtime Darner / La Janata) Boyeria grafiana Williamson (Ocellated Darner / L’aeschne fuligineuse) Boyeria vinosa (Say) (Fawn Darner/ L’aeschne vineuse) Epiaeschna heros (Fabricius) (Swamp Darner / L’impératrice) Gomphaeschna furcillata (Say) (Harlequin Darner / L’aeschne pygmée) Nasiaeschna pentacantha (Rambur) (Cyrano Darner / La Cyrano) Rhionaeschna californica (Calvert) (California Darner / L’aeschne de la Californie) Rhionaeschna multicolor (Hagen) (Blue-eyed Darner / L’aeschne multicolore) Rhionaeschna mutata (Hagen) (Spatterdock Darner / L’aeschne des nénuphars)
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.047 | 0.020 |
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".