Bibliographic record
Abstract
Purpose The purpose of this paper is to gain an understanding of baby boomers’ physiological and psychological needs through clothing consumption. Design/methodology/approach A qualitative research approach was employed for this study. Data were collected from two generational segments: early baby boomers (1946–1954), and late baby boomers (1955–1964). In total, 13 informants aged from 53 to 71 years were participated in this study. Content analysis and interpretive approach were used for data analysis. Findings According to the findings, there are several reasons why the baby boomers shopped for clothing, including a way of stress relief or retail therapy, wardrobe update, replacement of worn-out garments, attractiveness of clothing styles and convenience. Style, fit, comfort and colour were the four most important product evaluative cues. Other than product cues, age appropriateness is an important factor for clothing consumption. Many informants were disappointed with their current body type, shopping experience and the industry offers. Practical implications Age-appropriate clothing can give wearers greater self-assurance/-gratification. If fashion designers create their products based on the baby boomers’ cognitive age, it would probably increase their customers’ acceptance and satisfaction. Originality/value The rapid growth of the aging population is a global phenomenon. Therefore, investigating the needs and challenges of the baby boomer generation is both timely and imperative. This study intended to offer new knowledge on the issues of baby boomers’ unmet needs, and provide insights and implications to fashion practitioners.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.012 | 0.003 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".