Family Eulophidae Westwood, 1829.
Bibliographic record
Abstract
Abstract This chapter provides a checklist for the family Eulophidae. It provides information on species diversity, host records, distribution records by province in Iran, as well as world distribution. Comparison of the eulophid fauna of Iran with adjacent countries indicates that the faunas of Russia (666 species) and Turkey (246 species) are more diverse than Iran (236 species), followed by Turkmenistan (70 species), Kazakhstan (57 species), Pakistan (44 species), Azerbaijan (34 species), United Arab Emirates (31 species), Armenia (23 species), Iraq (10 species), Afghanistan and Saudi Arabia (both with eight species) and Oman (six species); no species have so far been reported from Bahrain, Kuwait or Qatar. The much larger number of eulophid species reported from Russia likely correlates with not only its large land area but also its history of taxonomic research on Eulophidae in the country. Russia shares 147 known species with Iran, followed by Turkey (133 species), Azerbaijan (22 species), Turkmenistan (21 species), Armenia and Pakistan (both with 20 species), United Arab Emirates (13 species), Iraq (10 species), Afghanistan (seven species), Saudi Arabia (four species) and Oman (two species).
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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.028 | 0.013 |
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".