The effect of brand design on brand gender perceptions and brand preference
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
Purpose – This research aims to examine the impact of brand design elements (logo shape, brand name, type font and color) on brand masculinity and femininity perceptions, consumer preferences and brand equity. Design/methodology/approach – This research empirically tests the relation between brand design elements, brand masculinity and femininity and brand preferences/equity in four studies involving fictitious and real brands. Findings – Brand design elements consistently influenced brand masculinity and femininity perceptions. These, in turn, significantly related to consumer preferences and brand equity. Brand masculinity and femininity perceptions successfully predicted brand equity above and beyond other brand personality dimensions. Research limitations/implications – Although this research used a wide range of brand design elements, the interactive effects of various design elements warrant further research. Practical implications – This research demonstrates how markers of masculinity and femininity that are discussed in the evolutionary psychology literature can be applied to the brand design of new and existing brands. Originality/value – This research considers the impact of multiple brand design elements (logo shape, brand name, type font and color) and involves a wide range of brands and product categories.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.010 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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