Introduction: Ecology and the Central Nervous System
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
Behavioral ecology, the study of the survival value or function of behavior, has developed for a time by confining cognition to convenient black boxes that were assumed to be rigged by natural selection to direct an animal to the right decision for a given set of circumstances. However, the interpretation of test results concerning functional hypotheses about behavior depends crucially on assumptions made about their ability to collect and process information: cognition. Clearly, progress in behavioral ecology requires that the cognitive black boxes be opened and studied. This need coincides with an explosive growth of interest in animal cognition that has promoted and enhanced the level of interaction between behavioral ecologists and animal cognition scientists. The result promises to be profitable to the extent that it will raise interest and research in a number of new areas such as the costs in terms of survival value of evolving increased cognitive capacity or even the possibility of exploring brain morphology using a functional approach.
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.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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