Further Thoughts on the Evolution of Pride’s Two Facets: A Response to Clark
Bibliographic record
Abstract
In Clark’s thoughtful analysis of the evolution of the two facets of pride, he suggests that the concurrent existence of hubristic and authentic pride in humans represents a “persistence problem,” wherein the vestigial trait (hubristic pride) continues to exist alongside the derived trait (authentic pride). In our view, evidence for the two facets does not pose a persistence problem; rather, hubristic and authentic pride both likely evolved as higher-order cognitive emotions that solve uniquely human—but distinct— evolutionary problems. Instead of being conceptualized as serial homologues, with one the vestigial form of the other, we argue that hubristic and authentic pride are both derived homologues of a vestigial proto-pride emotion that existed in our shared ancestry with other primates.
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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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.005 | 0.016 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.013 | 0.020 |
| Insufficient payload (model declined to judge) | 0.007 | 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".