Motivational Factors in Career Decisions Made by Chinese Science Museum Educators
Bibliographic record
Abstract
Conceptualized by the self-determination theory, this interpretive study examined 23 museum educators’ perspectives from five Chinese science museums to understand their work motivation in relation to their professional practice of working in museums. Research outcomes showed that, Chinese science museum educators’ work motivation followed a common extrinsic–intrinsic pattern, in which extrinsic motivation was valued and seemed to be more influential in career decisions than intrinsic motivational factors. This finding was found to be different in a number of ways to most museum educator studies conducted in Western cultural contexts. Furthermore, sociocultural factors regarding museum educators’ backgrounds and experiences as well as their institutional contexts had differential impacts on extrinsic and intrinsic motivations. This study has implications for museum-education-related researchers, policy makers, and administrators to reconsider the recruitment criteria, in-service motivating mechanism, and professional training system for museum educators in China and beyond.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".