Goal-Driven Cognition and Functional Behavior
Bibliographic record
Abstract
Fundamental motives have direct implications for evolutionary fitness and orchestrate attention, memory, and social inference in functionally specific ways. Motivational states linked to self-protection and mating offer illustrative examples. When self-protective motives are aroused, people show enhanced attention to, and memory for, angry male strangers; they also perceive out-group members as especially dangerous. In contrast, when mating motives are aroused, men show enhanced attention to and memory for attractive members of the opposite sex; mating motives also lead men (but not women) to perceive sexual arousal in attractive members of the opposite sex. There are further functionally specific consequences for social behavior. For example, self-protective motives increase conformity among both men and women, whereas mating motives lead men (but not women) to engage in anticonformist behavior. Other motivational systems trigger different adaptive patterns of cognitive and behavioral responses. This body of research illustrates the highly specific consequences of fitness-relevant motivational states for cognition and behavior, and highlights the value of studying human motivation and cognition within an evolutionary framework.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".