The Paradox of Authentic Selves and Chameleons: Self-monitoring, Perceived Job Autonomy and Contextual Performance
Why this work is in the frame
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Bibliographic record
Abstract
We investigate how self-monitoring combines with the degree of perceived job autonomy to affect contextual performance. We explore both a mediation model, built on theories on individual differences in the perception of job characteristics, and a moderation model, built on theories of the interaction between personality and perceived job situation. Empirical evidence suggests that self-monitoring and perceived job autonomy significantly predict contextual performance. In addition, an interesting paradox emerges: high self-monitors are likely to perceive higher job autonomy than low self-monitors but appear to benefit less from perceiving high job autonomy than low self-monitors. This paper provides a richer understanding of the controversial nature of the self-monitoring construct and offers a new specification of the combination between perceived situational and personality variables in the prediction of behavioural outcomes.
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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) | 0.000 | 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 it