Applying Rogers' theory of diffusion of innovations to examine older females' perceptions of size labels for apparel
Bibliographic record
Abstract
This research applied Rogers' theory of the diffusion of innovations to examine 42 older women's responses to three ways of communicating information about apparel size: a numerical code only, a hang tag containing body measurements which were not representative of older women, and another hang-tag which did contain representative measurements. Older women, aged 55 to 93 years, were interviewed to ascertain their satisfaction with the numerical code, impressions o the two hang-tags, relative advantage of the hang-tags, and attitude toward them. Results showed that older women were not clearly satisfied or dissatisfied with the numerical code. Satisfaction with the numerical code was not correlated with the perceptions of relative advantage of or attitude toward the two Hang-tags which bore body measurement information. Perceptions of relative advantage of the hang-tags were correlated with attitude toward them. Older women responded more favourably to and formed more positive attitude toward the hang-tag containing body measurement information which was not representative of older females.
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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 | 0.008 | 0.030 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".