Bibliographic record
Abstract
Italochrysa aequalis (Walker, 1853) Chrysopa aequalis Walker, 1853: 266. Type locality: Unknown. Indian distribution: Karnataka: Raichur Dist.: Jawalagera [Jawalagiri] (village); Maharashtra: Satara Dist.: Khandala (hill station); Uttarakhand: Uttarkashi Dist.: Osla (village); West Bengal: Nadia Dist.: Chapra (town) (McLachlan 1869b: 26; Banks 1913b: 221; Navás 1929a: 194; Banks 1933: 3; Chatterjee 1933: 5; Sala de Castellarnau 1946: 123; Ghosh & Sen 1977: 297; Debnath et al. 1988: 138; Sharma & Chandra 2013: 164). World distribution: China, India, Indonesia, Malaysia, Pakistan, Papua New Guinea, Philippines (McLachlan 1869b: 26; van der Weele 1909b: 76; Banks 1913a: 174; Navás 1927a: 4; Kimmins 1938: 311; New 2003: 165; Hassan & Liu 2022: 11; Oswald 2024a).
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 | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.012 | 0.003 |
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".