Bibliographic record
Abstract
Pheidole fervens Smith, 1858 Material examined. Labrador beach, 29 Apr 1985, D.H. Murphy leg., ZRC _HYM_0000728. Material not physically examined. Syntypes – CASENT0901519 -0901520, ANTC21037 (BMNH). Literature. Type – Smith (1858). Viehmeyer (1916), Overbeck (1924) [both as Pheidole javana]. Eguchi (2001, 2004); Sarnat et al. (2015). Localities. Bukit Timah Road; Labrador beach. Habitat/Ecology. This species is associated with a wide variety of habitats in Singapore, especially in heavily disturbed areas in urban and/ or semi-urban settings such as public beaches, roadsides, and forest edges. Nests were typically found in soil or under stones, also in rotten wood, and in dead tree stumps filled with ‘humus’ or other debris. In one instance, a colony was observed underneath a decaying fallen tree, ‘partly in the tree’ and ‘partly in (sic) the ground.’ Remarks. Type locality in Singapore. Substantial numbers of specimens of this species were observed amongst existing unsorted and uncatalogued museum material. Thus it could be inferred that the species is much more common than was represented by official catalogued records of the ZRC, at the time of writing. It is known as a globally widespread and potentially invasive species, and could be native to a large part of the Indomalayan bioregion or the Oceanic region (Sarnat et al. 2015).
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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.027 | 0.009 |
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".