Atypical Wing Venation in<i>Dialictus</i>and<i>Hemihalictus</i>and Its Implications for Subgeneric Classification of<i>Lasioglossum</i>
Bibliographic record
Abstract
The subgeneric classification of hundreds of species in Lasioglossum Curtis sensu lato is currently unstable due to differing opinions on the suitability of wing venation characters for differentiating subgenera. The subgenera Dialictus Robertson and Hemihalictus were both originally defined primarily by the forewing having two submarginal cells. I present examples of variation in submarginal cell number in the type species of these two subgenera: L . ( Dialictus ) anomalum (Robertson) and L . ( Hemihalictus ) lustrans (Cockerell). These results suggest that submarginal cell number is insufficient for recognizing subgenera in Lasioglossum . The variability of this character is used to refute the classification proposed by some authors that Chloralictus Robertson, but not Dialictus , be synonymised with Evylaeus Robertson.
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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 | 0.000 | 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 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".