Factors influencing consumer choice: a study of apparel and sustainable cues from Canadian and Indian consumers’ perspectives
Bibliographic record
Abstract
The purpose of this study is to investigate the salient effects of product evaluative cues from a cross-national perspective. A web-based survey consisted of eight measuring items of environmental commitment and behaviour, 20 items of product cues, and demographic and behavioural questions were employed. A total of 321 and 309 usable surveys were collected from Canada and India, respectively. The results revealed that Canadian and Indian consumers were more concerned about psychic/aesthetic and physical/functional cues than extrinsic and sustainable cues. In particular, fit and comfort were perceived as the two most important evaluative criteria by both samples. Indian consumers relied more heavily on ‘no child labour’ and ‘no animal skin usage’ cues to evaluate apparel products than their Canadian counterparts. The findings underpin several implications, including aesthetic longevity, versatility, durability, and affordability of clothing, as well as transparency on sustainable production and practices
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".