Coupling High Self‐Perceived Creativity and Successful Newcomer Adjustment in Organizations: The Role of Supervisor Trust and Support for Authentic Self‐Expression
Bibliographic record
Abstract
Abstract This study addresses how supervisors can facilitate the socialization of newcomers with high self‐perceived creativity into their new jobs. We combine self‐verification theory and current literature on socialization in a dual‐stage moderated mediation model where a) newcomer self‐perceived creativity interacts with supervisor trust in the newcomer to trigger supervisor perception of newcomer creativity; and b) supervisor perception of newcomer creativity, in turn, interacts with supervisor support for newcomer authentic self‐expression to impact newcomer adjustment outcomes (i.e., task performance, job satisfaction, and stress symptoms). A two‐wave, multisource study of 146 newcomer–supervisor dyads provides support for our predictions, suggesting that high levels of supervisor trust and support for authentic self‐expression serve as moderating conditions allowing supervisor perception of newcomer creativity to positively mediate the relationship between newcomer self‐perceived creativity and newcomer adjustment.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".