International Journal of Business and Management, Vol. 5, No. 3, March 2010, all in one PDF file
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
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 predictors of job satisfaction among the emerging adults, which are self-esteem, happiness, work-reward preferences, valued job characteristics, income, education, occupational categories, and other demographic variables. Using structural equation modeling, 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 is rather mediated through self-esteem and valued job characteristics. Discussion includes limitation, future research direction, and policy implications.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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