Objective and Subjective Indicators of Happiness in Brazil: The Mediating Role of Social Class
Bibliographic record
Abstract
The authors tested the proposition that monetary household income affects subjective well-being (E. Deiner, E. M. Suh, R. E. Lucas, & H. L. Smith, 1999) through the mediating mechanisms of objective and subjective social classes. The present authors drew a representative sample in a door-to-door survey format from a Brazilian urban center. Using a back-translated version of E. Diener, R. A. Emmons, R. J. Larson, and S. Griffin's (1985) Satisfaction With Life Scale, the present authors demonstrated a significant relation with income. However, this effect was mediated by objectively and subjectively measured social classes. These effects reinforce, extend, and internationally generalize the Person x Situation perspective elaborated by E. Diener et al. (1999).
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".