Measuring social alienation in adolescence: Translation and validation of the Jessor and Jessor Social Alienation Scale
Bibliographic record
Abstract
Safipour, J., Tessma, M. K., Higginbottom, G. & Emami, A. (2010). Measuring social alienation in adolescence: Translation and validation of the Jessor and Jessor Social Alienation Scale. Scandinavian Journal of Psychology 51, 517–524. The objective of the study is to translate and examine the reliability and validity of the Jessor and Jessor Social Alienation Scale for use in a Swedish context. The study involved four phases of testing: (1) Translation and back-translation; (2) a pilot test to evaluate the translation; (3) reliability testing; and (4) a validity test. Main participants of this study were 446 students (Age = 15–19, SD = 1.01, Mean = 17). Results from the reliability test showed high internal consistency and stability. Face, content and construct validity were demonstrated using experts and confirmatory factor analysis. The results of testing the Swedish version of the alienation scale revealed an acceptable level of reliability and validity, and is appropriate for use in the Swedish context.
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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) | 0.000 | 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".