Clothing Involvement Profiles of African-American Students for Marketing Strategies
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
Successful marketing strategies for clothing business are strongly dependent on understanding the way in which consumers become involved with clothing product before making a purchasing decision. This study revealed that African-American college students have higher mean scores of clothing involvement than the other ethnic consumers have, which is caused by the highly skewed distribution pattern of clothing involvement. 240 completed data were analyzed to explain such unique characteristics of African-American students’ consumption behavior using multivariate analysis of variance (MANOVA) and univariate analysis of variance (ANOVA). As a result, many of African-American college students think it is very important to choose clothing that makes them look good with the fit and style. In particular, the high-involvement groups tend to follow the latest fashion trends and dynamic clothing styles in order to create their better personal image with best-fitting clothing. Fashion magazine is one of the most important information sources to them because it usually deals with lots of the current fashion issues for young consumers compared to other information sources.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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