Perfectionism, Goal Pursuit, and Work-Related Outcomes: A Self-Determination Theory Perspective
Bibliographic record
Abstract
Adopting a self-determination theory perspective, the present study sought to investigate how two forms of perfectionism at work, personal standards and self-critical perfectionism, differentially impact goal pursuit, motivation, and various work-related outcomes among employees.One hundred and eighty-one working adults participated, and two time points were used in my analyses.Results show that perfectionism does not predict goal progress for work-related goals.Personal standards perfectionism was associated with increased subjective well-being, whereas self-critical perfectionism was related to increased burnout and workaholism, and decreased subjective well-being over time.Results show that these relationships are not reciprocal in nature, thus perfectionism can be viewed as an antecedent to these work outcomes.Moreover, work motivation was shown to mediate the relationship between both forms of perfectionism and job satisfaction, and the relationship between self-critical perfectionism and subjective wellbeing.Implications of these findings are discussed in the context of organizations and work adjustment programs.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".