Das Inventar Subjektiver Stigmaerfahrungen (ISE): Ein neues Instrument zur quantitativen Erfassung subjektiven Stigmas
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Stigma research has been criticized for excluding the views of those exposed to stigmatizing reactions. While this changed with the advent of qualitative research into stigma, population-based data on the prevalence, severity and consequences of stigma experiences are lacking. The present study aims at field-testing the German version of the Inventory of Stigmatizing Experiences (ISE) , developed to investigate the epidemiology of "felt stigma". METHODS: The ISE is a semi-structured questionnaire composed of two scales: one measuring the scope of stigma experienced in different life domains (SES; 9 items), the other assessing their psychosocial impact (SIS; 7 items). The instrument was translated into German, using the three-step procedure proposed by WHO (translation, back-translation, feasibility testing). Field-testing of the German version was carried out on 95 service users. RESULTS: The German version of the ISE shows good reliabilities for both the stigma experiences (SES; alpha = 0.74) and stigma impact (SIS; alpha = 0.86) scales. 54.4 % of service users report stigma experiences across the SES; 72 % of these are recent and thus susceptible for interventions. CONCLUSIONS: The German version of the ISE is a compact and reliable tool for measuring the prevalence and impact of felt stigma, with potential uses in both population-based stigma research and clinical practice.
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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) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.010 |
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 it