Bibliographic record
Abstract
Reconciling the origins of morphological diversity with the deep homology of underlying mechanisms is a question fundamental to the goals of evolutionary developmental biology ("evo-devo" or EDB). In this paper I argue that differing research agendas in evolutionary and developmental biology have hindered how we address this question, but that the limb provides ideal "common ground" for their fuller integration. To support this idea, I review two previous analyses of limb variation in mammal, bird, and reptile taxa that offer complementary approaches to explaining diversity. Specifically, I present evidence suggesting that: (1) a shared genetic architecture affects the pattern of between limb developmental integration, while their functional dissociation is linked to both increased phenotypic evolvability and diversity of interlimb proportions, and (2) within limb proportional diversity is biased such that proximal and distal segments function as tradeoffs while the middle segment is more conservative, a signal that is both evident from early in morphogenesis and suggestive of an "inhibitory cascade" model of limb proximo-distal axis development. In the first case, shared genetic mechanisms predict both observed developmental integration between limbs and patterns of clade-specific diversity. In the second case, underappreciated patterns of phenotypic diversity suggest novel insights into the underlying developmental mechanisms by which variation is generated. These studies show how insights from both evolutionary and developmental biology of the limb may be used to generate novel testable hypotheses into the origins of diversity that are broadly applicable to the integration of EDB.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.011 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".