Experienced and Anticipated Pride and Shame as Predictors of Goal-Directed Behavior
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
This study examined how experienced and anticipated pride and shame were related to time spent training and effort expended toward training the following week. Participants ( N = 158, 76% women; M age = 35.51, SD = 10.29 years) training for a marathon/half-marathon completed a weekly online questionnaire for 5 weeks leading up to a race. In the multilevel models, time spent training was positively predicted by race proximity, age, and effort expended that week. Effort expended toward training was predicted by the current week’s effort, the amount of time spent training that week, and was greater for participants who usually reported experiencing more pride than others. Neither anticipated pride or shame predicted time or effort, nor did experienced shame. The findings indicate that it is functional to foster high levels of pride when training for a long-distance race. Further work is needed to ascertain the relationship between anticipated emotions on goal-directed behavior.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| 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