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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 source (direct Gemma or distilled Codex), 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".