Revisiting the phylogeny of the scolebythid wasps (Hymenoptera: Aculeata) through Bayesian model evaluation and parsimony, with description of a new fossil family of Chrysidoidea
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Scolebythidae constitute the smallest family of Aculeata in number of extant species, but with a considerable diversity of extinct lineages. Twenty Cretaceous species are attributed to the family coming from deposits in Canada, Lebanon, Myanmar, New Jersey, and Spain. However, several of these taxa lack characters of the family groundplan. Although phylogenetic investigations have been conducted for the family based on a relatively small set of morphological characters, the substantial diversity of species from Burmese amber have not yet been accounted for in a phylogenetic perspective. In the present work, we reconstruct the phylogenetic relationships of Scolebythidae using a new morphological matrix and explore it through parsimony and Bayesian model evaluation. In Bayesian analyses, homoplasy-based partitioning outperformed anatomy-based partitioning and the unpartitioned models. Our phylogenetic results support the relocation of a few taxa previously attributed to Scolebythidae to the families Bethylidae and Chrysididae. We also describe †Chrysopsenellidae fam. nov., a new family of Chrysidoidea, based on an inclusion in Burmese amber. In all analyses the new family is recovered as closely related to Scolebythidae, with the whole clade being sister-group to Chrysididae + †Chrysobythidae. Finally, we discuss the origin of the Burmese amber biota distinctiveness.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it