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
Merging evolutionary ecology and cognitive science, cognitive ecology investigates how animal interactions with natural habitats shape cognitive systems, and how constraints on nervous systems limit or bias animal behavior. Research in cognitive ecology has expanded rapidly in the past decade, and this second volume builds on the foundations laid out in the first, published in 1998. Cognitive Ecology II integrates numerous scientific disciplines to analyze the ecology and evolution of animal cognition. The contributors cover the mechanisms, ecology, and evolution of learning and memory, including detailed analyses of bee neurobiology, bird song, and spatial learning. They also explore decision making, with mechanistic analyses of reproductive behavior in voles, escape hatching by frog embryos, and predation in the auditory domain of bats and eared insects. Finally, they consider social cognition, focusing on alarm calls and the factors determining social learning strategies of corvids, fish, and mammals. With cognitive ecology ascending to its rightful place in behavioral and evolutionary research, this volume captures the promise that has been realized in the past decade and looks forward to new research prospects.
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 | 0.000 | 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) | 0.046 | 0.012 |
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