Bibliographic record
Abstract
Synonym. Macrodactylus nigrinus Philippi, 1864: 443 (new synonym). Type locality. Chile: VII Región del Maule: Linares: Estero Leiva (based on the neotype). The original type locality was “ Chile.” Type series. Neotype male (Fig. 10) at MNNC, same specimen as the neotype for Macrodactylus farinosus (see label data above). Neotype here designated. Distribution (Fig. 24). Chile: IV Región de Coquimbo, Región Metropolitana, VII Región del Maule, VIII Región del Biobío. One specimen examined was labeled from Aysen km 50, Coyhaique. This locality should be considered dubious as it is far outside the known range for this commonly encountered species. Remark. Color variation, variation in setal pattern, and incomplete specimens seem to have led Philippi (1864) to believe that Macrodactylus farinosus, M. crassipes, and M. nigrinus were different species. I have examined over 170 specimens of Macrodactylus farinosus and found the variation within this species to encompass Philippi’s (1864) original descriptions of all three species mentioned above. Because I found no evidence to suggest that more than one species is represented within the series I examined, I here synonymize the three Philippi names. I selected a single specimen as the neotype for each of the three names to make them objective synonyms and avoid further confusion over these names.
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 | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.005 |
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".