Fashion Leaders' and Followers' Attitudes Toward Buying Domestic and Imported Apparel
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
Using the Fishbein Attitude Model as the conceptual framework, this study investigated whether female fashion leaders and fashion followers differed in the importance they gave to 12 selected clothing attributes and in their attitudes toward buying imported and domestic apparel. A random sample of 641 female consumers completed a mailed questionnaire. Results showed that fashion leaders accorded significantly more importance than fashion followers to six apparel attributes: color, attractiveness, fashionableness, brand name, appropriateness for occasion, and choice of styles. Both fashion leaders and followers accorded similar importance to six other apparel attributes: good fit, durability, ease of care, price, comfort, and quality. Also, fashion leaders as well as fashion followers had more positive attitudes toward domestic apparel than imported apparel. However, compared to followers, fashion leaders had more positive attitudes toward imported apparel.
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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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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