Bibliographic record
Abstract
Flies (Diptera) are an important but underappreciated part of our planet's biodiversity. With over 124,000 described species, and countless more awaiting discovery, they are one of the most diverse groups of organisms on Earth. This series of ten papers explores the diversity of Diptera. Several authors describe the diversity of dipteran lifestyles and behaviours, both as larvae and adults. They also reveal the various roles that these animals play in the ecological interactions of the planet—countless numbers of flies feed on plants, control pest arthropods (including other flies!), break down rotting vegetation and excrement, pollinate flowers, provide food for other species, and of course, spread diseases. Indeed, because of their role as vectors of disease, flies have almost single-handedly prevented the economic development of countries in tropical Africa and South America. But flies are used in positive ways by humans, too, and several authors describe their use in forensic science, molecular research, and even as “main attractions” in the tourism industry. The intent of this series of papers is to encourage a broader interest in Diptera that, ideally, will lead to further research and conservation efforts.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".