Bibliographic record
Abstract
Numerous factors have stimulated new enthusiasm for understanding the process of primate origins, including new fossil discoveries, improvements to methods for analyzing molecular data, and technological advances. These novel approaches have led to a better appreciation of the complexities of early primate evolution. Eight fundamental questions provide a framework for thinking about these issues. Among these topics are the phylogenetic position of Primates in Mammalia and the membership of particular fossil groups in the order. Also of central interest are questions about early primate ecology and anatomy such as the ancestral body mass, diet, locomotor mode, interactions with predators, and brain size and form. And finally, considerations of the paleontological record need to be informed by the most relevant living models, which help flesh out the story that is being told by fossils. Although much is known about all of these areas, fundamental questions still remain.
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 | 0.011 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.030 |
| Scholarly communication | 0.005 | 0.015 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.004 | 0.010 |
| Insufficient payload (model declined to judge) | 0.005 | 0.002 |
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".