Emotivational psychology: How distinct emotions facilitate fundamental motives
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
Abstract Fundamental motivational systems and distinct emotions have both been suggested to be critically involved in the orchestration of adaptive responses to recurrent challenges in humans' evolutionary history. Research on motivation has, however, proceeded largely independently from research on emotions. Here, we contend that distinct emotions are what motivate behavior, and that these emotions may have evolved in tandem with fundamental motivational systems because they play a critical role in the functioning of those systems. Specifically, once a threat or opportunity has been identified, a distinct emotion is elicited, automatically galvanizing and guiding physiological, cognitive, and behavioral responses toward an adaptive outcome; this entire process occurs via a motivational system. We map six characteristic distinct emotions to six fundamental motivational systems and review evidence supporting each hypothesized link. In doing so, we propose a novel framework for understanding human motivation and the corresponding emergence of distinct emotions.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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