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
In this paper I argue that many sociocultural phenomena are best explained by the comparative (phylogenetic) method, which consists of using information on other species, notably our closest relatives, the nonhuman primates, as a means to understand the evolutionary history and biological underpinnings of human traits. The social phenomena considered here embody the unitary social configuration of humankind , the set of traits common to all human societies. Those traits could not be explained by sociocultural anthropology, or the other social sciences, because even though they have a highly variable cultural content, they are not cultural creations but rather the products of human nature, or natural categories. I argue that some of those traits resulted from the cognitive enhancement of specific primate traits in the course of human evolution and others evolved as by-products of the coalescence of several primate traits, and I illustrate each process with a number of examples. I also show that even though many of those traits are crossculturally universal, they need not be: culture may modulate the expression of primate legacies and produce various sociocultural patterns from the same set of universal biological underpinnings, or biological constants. Finally, I discuss the importance for the social sciences of integrating biological constants in their models and theories even when they seek to explain cultural differences .
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) | 0.000 | 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