(208–212) Proposals to amend Arts. 8, 9, 37, and 38 to provide that the type of the name of a plant microfossil may be an illustration
Bibliographic record
Abstract
208) Amend Art.8.5 to read: "The type, epitypes (Art.9.7) excepted, of the name of a taxon of fossil plants, plant microfossils 1 excepted, of the rank of species or below is always a specimen (see Art. 9.13).One whole specimen is to be considered as the nomenclatural type (see Rec. 8A.3).However, for names of plant microfossils an effectively published illustration may serve as type (see also Art. 37.4)."(209) Add as a footnote to the words "plant microfossils" in the above amendment to Art. 8.5 the following:" 1 "Plant microfossils" here refers to fossil microscopic plants or microscopic plant parts, found dispersed in sedimentary rocks.Such microscopic fossils, for investigation, are located on microscope slides, SEM stubs, or are parts of other sorts of preparations that must be studied by light, electronic, or other kinds of microscopy at a magnification of at least 100×."(210) Insert after "fossil plants" in line 2 of Art.9.13: "microfossils excepted" and add a parenthetical sentence at the end: "(Note that for plant microfossils, an effectively published illustration may serve as type -see Art.8.5.)"
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 | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.003 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.005 | 0.004 |
| Research integrity | 0.034 | 0.032 |
| Insufficient payload (model declined to judge) | 0.022 | 0.031 |
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".