Revision of the rare Mesoamerican bee genus Mexalictus (Hymenoptera: Halictidae) with the description of <br />21 new species
Bibliographic record
Abstract
The Mesoamerican bee genus Mexalictus (Hymenoptera: Halictidae: Halictinae) is a group of rare bees which are found at high elevations from southern Arizona (USA) to Panama. The genus is revised using traditional taxonomic approaches. The following twenty one new species are described: M. albofasciatus Dumesh, n. sp., M. anatolii Dumesh, n. sp., M. astriatus Dumesh, n. sp., M. ayalai Dumesh, n. sp., M. benyamini Dumesh, n. sp., M. diversus Dumesh, n. sp., M. jovelus Dumesh, n. sp., M. genalis Dumesh, n. sp., M. gibbsi Dumesh n. sp., M. guatemalensis Dumesh, n. sp., M. hansoni Dumesh, n. sp., M. hondurensis Dumesh, n. sp., M. laurencei Dumesh, n. sp., M. mandibularis Dumesh, n. sp., M. nicaraguensis Dumesh, n. sp., M. punctatus Dumesh, n. sp., M. raavo Dumesh, n. sp., M. sheffieldi Dumesh, n. sp., M. vera-cruzense Dumesh, n. sp., M. verdazulus Dumesh, n. sp., M. vitriolus Dumesh, n. sp. These and five previously known species are diagnosed, described, illustrated, and keyed. Phylogenetic analysis, based on 43 unordered morphological characters, resulted in 4 equally most parsimonious trees (L=176; Ci=36.4; Ri=56.6). Based upon these results, the sub-generic classification of Mexalictus into Georgealictus and Mexalictus s.str., is resurrected.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".