Do they know how hard I work? Investigating how implicit/explicit achievement orientation, reputation, and political skill affect occupational status
Bibliographic record
Abstract
Researchers have yet to precisely test the Socioanalytic proposition that social skill moderates the personality identity–personality reputation relationship. Further, although research has found personality to have both explicit and implicit aspects, scholars have not examined these differences with respect to the Socioanalytic perspective on personality. The present study investigates how explicit and implicit achievement orientation identities relate to one’s reputation for that trait in the workplace and to career success, as measured by occupational status. We propose that explicit and implicit achievement orientation, political skill and their interplay positively relate to reputation of achievement orientation at work, which, in turn, is positively related to occupational status. We found that (1) both explicit and implicit achievement orientation were positively associated with its reputation, as rated by co-workers; (2) reputation mediated both relations between implicit/explicit achievement orientation and occupational status and (3) heightened political skill strengthened the relationship between explicit achievement orientation and its reputation, as well as its indirect effect on occupational status via reputation (first stage moderated mediation). Our research provides a potential explanation for why observer ratings of personality are more strongly associated with outcomes than self-ratings: Observers perceive both implicit and explicit personality behaviours.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".