NATURAL HISTORY, ECOLOGY, AND EVOLUTION OF A REMARKABLE ADAPTIVE RADIATION
Bibliographic record
Abstract
Google Scholar Google Preview WorldCat What is an adaptive radiation? In its simplest form, it is the explosive diversification of a monophyletic lineage in response to the acquisition of a key innovation or colonization of new niches. What examples come to the mind of most students of evolutionary biology? Presumably, we all have our favorite example, but I would venture that most top five lists would include one or more of: Darwin's finches on the Galapagos islands, African rift valley cichlids, Hawaiian honeycreepers, Hawaiian silverswords, and Greater Antillean Anolis lizards. These radiations are textbook classics because of the impressive diversity of form and function in their descendant lineages and/or because they have been studied thoroughly over relatively long periods of time. With the extremely well researched and entertainingly written Lizards in an Evolutionary Tree: Ecology and Adaptive Radiation of Anoles, Losos (2009) makes a rather convincing case that the latter group, along with their Lesser Antillean and mainland counterparts, may represent the ideal marriage of diversity to explore and study system tractability. To be fair, Losos does not directly make this bold claim; rather it is an impression one easily gets after reading the book.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.006 |
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".