Une validation québécoise du Satisfaction with Life Domains Scale
Bibliographic record
Abstract
This article presents the results of the Quebec validation of the Satisfaction With Life Domains Scale: This scale was developed in the United States for the general population and adapted for severely mentally ill individuals. Two hundred and sixty six individuals from the general population and 245 severely mentally ill persons participated in this study. Factor analysis allowed the identification of four sub-scales for the clinical population and five for the general population. The scale (alpha = 0.90) and the sub-scales (alpha between 0.60 et 0.84) show excellent internal consistencies and the test-retest reliability was good (r = 0.73). Moreover, analysis of the variance and the discriminant analysis allow to acknowledge that the sub-scales have a high discriminating power; they allow to distinguish the general population from welfare recipient and people suffering from psychosis. The overall results suggest that l'Echelle de satisfaction des domaines de vie have good psychometric properties and can be considered as a valid instrument for assessing subjective quality of life in descriptive or evaluative studies.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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; both teacher heads agree on what is shown here.
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".