Heritability and the evolution of cognitive traits: Table 1
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
A critical question in the study of the evolution of cognition and the brain concerns the extent to which variation in cognitive processes and associated neural mechanisms is adaptive and shaped by natural selection. In order to be available to selection, cognitive traits and their neural architecture must show heritable variation within a population, yet heritability of cognitive and neural traits is not often investigated in the field of behavioral ecology. In this commentary, we outline existing research pertaining to the relative influences of genes and environment in cognitive and underlying neural trait variation, as well as what is known of their heritable genetic architecture by focusing on several cognitive traits that have received much attention in behavioral ecology. It is important to demonstrate that cognitive traits can respond to selection, and we advocate for an increased emphasis on investigating trait heritability for enhancing our understanding of the ecological, genetic and neurobiological mechanisms that have shaped interspecific and intraspecific variation in cognitive traits.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it