An Attributional Analysis of Stigma Associated with Sexually Transmitted Diseases and its Relationship with Communication Efficacy
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
People typically attribute more responsibility to those individuals who are infected with sexually transmitted diseases (STD) than other diseases. This study tested how different routes (i.e., sexually transmitted or foodborne) of transmission have an impact on individuals' general perception on stigma/shame and the attributions of responsibility, when controlling for symptoms/conditions of the hypothetical virus infection. Two hundreds and ninety eight college students were recruited for the study. As predicted, people who were attributed with control over contracting the virus (i.e., sexually transmitted route) were likely to be assigned a greater level of personal responsibility and were more likely to receive blame from others than people who were attributed relatively less control over contracting the virus (i.e., foodborne). The relationship between the attribution of responsibility and communication efficacy was also assessed. The results supported our prediction that there was a significant association between the attribution of responsibility and communication efficacy, in that the perceived controllability of the situation, perceived responsibility for the situation, and blame were all significantly correlated with communication efficacy in a negative direction. Practical applications by evaluating the effectiveness of the actual Merck's Gardasil advertisement were discussed that the Gardasil advertisement appears to reduce the perceived shame and stigma associated with the sexually transmitted nature of the virus by not revealing the true nature of the virus upfront.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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 it