An Examination of the Moderating Effect of Core Self‐Evaluations and the Mediating Effect of Self‐Set Goals on the Primed Goal‐Task Performance Relationship
Bibliographic record
Abstract
An understudied issue in the goal priming literature is why the same prime can provoke different responses in different people. The current research sheds light on this issue by investigating whether an individual difference variable, core self‐evaluations (CSE), accounts for different responses from the same prime. Based on the findings of experiments showing that individuals with high CSE have higher performance after consciously setting a task‐related goal than individuals with lower CSE, two hypotheses were tested: (1) Individuals who score high on CSE perform better following a subconsciously primed goal for achievement than do individuals who score low on CSE, and (2) this effect is mediated by a self‐set goal. Two laboratory experiments ( n = 207, 191) and one field experiment ( n = 62) provided support for the hypotheses. These findings suggest that personality variables such as the CSE can provide an explanation for the “many effects of the one prime problem”.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".