The Importance of Aquatic Foods and Environments for the Early Hominin Brain
Bibliographic record
Abstract
Abstract Diet was critical to the growing early Homo brain, which required brain-selective nutrients such as docosahexaenoic acid (DHA), iodine, and iron for growth. Fish and shellfish were optimal sources of these nutrients. The fruit and vegetal diet of the earliest hominins, however, contained few of these nutrients. Early Homo and the australopithecines emerged along with changing environments including spreading grasslands and extreme temperatures. Their requirements for drinking water and shade meant archaeological sites were frequently located near wooded streams and rivers, lakes, and springs, ensuring hominin familiarity with edible wetland vegetation and freshwater-dwelling animals. Archaeological excavations and isotopic evidence indicate that early Homo procured spawning fish, probably crabs and shellfish, and scavenged meat. Fish was an invaluable food in the hot, dry seasons—predictable, easily caught, fatty, and, significantly, containing brain-specific nutrients. Fish—and likely nutritious crabs, shellfish, and scavenged meat—therefore fueled the ongoing encephalization of early Homo (including early H. erectus) and provided hominins with seasonally reliable food sources, complemented by carbohydrate-rich plant foods and scavenged mammal meat. Later in hominin development, consumption of marine food resources similarly provided DHA and other brain-specific nutrients.
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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 | 0.000 | 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 | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".