Predictors of Job Satisfaction among Emerging Adults in Alberta, Canada
Bibliographic record
Abstract
This study explores the aspect of satisfaction with jobs and career, and the predictors of job satisfaction among the emerging adults in Alberta. Obtaining data from the 2003 Alberta High School Graduate Survey among a sample of 1,030 emerging adults from Alberta, the paper examines the predictive value of self-esteem, happiness, work-reward preferences, valued job characteristics, income, education, occupational categories, and other demographic variables on job satisfaction among the emerging adults. Using structural equation modeling (SEM), a job satisfaction model has been developed. The findings indicate that self-esteem and valued job characteristics are direct and strongest predictors of job satisfaction among the emerging adults. In addition, happiness and income positively predicts job satisfaction. The variable ‘work-reward preferences’ does not directly predict job satisfaction, but rather is mediated through self-esteem and valued job characteristics. Discussion includes limitation, future research direction, and policy implications. Keywords: job satisfaction, self-esteem, happiness, work-reward preferences, valued job characteristics, income
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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 | 0.000 |
| 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 | 0.000 |
| 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 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".