A Review of Jaw Morphology and Foraging Behaviour in the Bulldog Ant (Myrmecia Gulosa) Group
Bibliographic record
Abstract
Formicidae are one of the most diverse groups that, along with termites, make up one third of the total animal biomass on Earth. Contributing to their success is the large variety of foraging behaviours and morphologies ants have evolved in response to various food supplies. On the world continent Gondwana, Myrmeciinae, were the dominant group with many characters considered primitive or ancestral within Formicidae. The Myrmecia gulosa group retains ancestral traits of the Myrmeciinae, now found only in Australia. This research aims to a review the facial morphologies and foraging behaviours of the M. gulosa group to better understand their unique success in Australia, compared to their demise elsewhere. Evaluation of jaw morphology, foraging behaviour, and geographical distribution revealed a narrow range of morphologies and consistent foraging behaviour across 41 of 42 studied species all over Australia. Based on similar morphologies of 41 species and behaviours of eleven, eight of which were considered well researched, it is possible that understudied M. gulosa species will demonstrate traits similar to well-researched species. It appears that M. gulosa species maintained ancestral traits that failed to allow the present-day success of Myrmeciinae elsewhere, and likely allowed the diversification of other ant genera. The following collated results suggests, members of the M. gulosa species group appear not to face the same food resource selective pressures that led to diversification in other ant genera and further supports food resources as an important selective pressure for other ant genera that M. gulosa possibly failed to adapt to.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".