Meaningful Work Scale in creative industries: a confirmatory factor analysis
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 conducts a confirmatory factor analysis of a meaningful Canadian work model. The sample comprised 446 professionals working in creative industries based in Midwestern and Northeastern Brazil who completed the 25-item Meaningful Work Scale (MWS). This study tested both the original Canadian five-factor model and a six-factor model previously adapted into Portuguese, based on professionals from São Paulo's creative industries. The results indicate that globally, both models, when re-specified, seem to fit the data. However, an inspection of the local fit indices suggests problems with both models, specifically in two factors: development and learning, and expressiveness and identification with work. We discuss the extent to which these findings may relate to cultural and occupational influences. The paper concludes that the meaningful work model, although it can vary in content, is vulnerable to possible subculture differences in the Brazilian context.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.003 |
| 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) | 0.003 | 0.001 |
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