Toward an Improved Understanding of Work Motivation Profiles
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The present research proposes an improved understanding of work motivation by identifying employees’ motivational profiles while taking into account the dual global and specific nature of work motivation proposed by self‐determination theory (SDT). To document the construct validity of these latent profiles, we relied on the circumplex model of employees’ well‐being to investigate whether they differed in terms of burnout, work satisfaction, and work addiction. Results from analyses conducted among a sample of 955 employees revealed five distinct profiles characterized by differing levels of global and specific forms of motivation: Intrinsically Motivated, Poorly Motivated, Driven, Conflicted, and Self‐Determined. Lower levels of burnout and work satisfaction were associated with profiles characterized by higher global levels of self‐determination and more autonomous forms of motivation, matching theoretical expectations. Interestingly, work addiction was highest in the Driven profile and lowest in the Self‐Determined profile, suggesting that autonomous forms of motivation are not always able to buffer the adverse effects of controlled forms of motivation. Our results also suggest that the specific qualities of work motivations are just as important as the global levels of self‐determination in the identification of work motivation profiles.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it