What Would the Child of a Human and a Neanderthal Look Like?
Bibliographic record
Abstract
Long ago there were many different species (or kinds) of humans. These included our ancestors, as well as another group, called the Neanderthals, who went extinct and no longer exist. Neanderthals looked very different from us: big muscles, big brains, and no chins. In 2010, scientists managed to study the DNA (genetic code) from these ancient Neanderthals and found, with surprise, that our ancestors had children with them. Neanderthal DNA exists in many people alive today. But we still did not know what the children of humans and Neanderthals (known as hybrids) would look like. By looking at the hybrid children of different kinds of mice, scientists realized that hybrids look very strange indeed. Based on this research, scientists think that human-Neanderthal children would have large heads (even bigger than the Neanderthals) and that their faces would look a little more like humans than Neanderthals.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".