Schalling-Sifneos Personality Scale: Findings and Recommendations
Bibliographic record
Abstract
Noting concerns for the measurement of alexithymia, the present study attempted (1) to provide descriptive data on the Schalling - Sifneos Personality Scale ( SSPS ); (2) to replicate previous factor-analytic findings on the SSPS , and (3) to suggest an alternative to the present method of scoring the SSPS . A sample of 430 undergraduates completed the SSPS . It was found (1) that the distribution of scores on the SSPS was approximately normal; (2) that the factor structure of the SSPS is robust over samples, and (3) that factor analyses identified factors representing characteristics consistent with those described by alexithymia. A subsequent factor analysis was performed to identify questionnaire items most relevant to the measurement of alexithymia. Nine questions were identified and were used in a revised scoring system. The distribution of revised scores is also approximately normal. It is suggested that this revised system is a more sensitive indication of the presence of alexithymia.
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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 | 0.000 | 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) | 0.001 | 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".