Smart Shoppers’ Purchasing Experiences: Functions of Product Type, Gender, and Generation
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
<p class="StyleBodytextSS11pt">Today’s consumers want to feel smart while shopping by minimizing the costs associated with shopping trips (e.g., time, effort, or money) and maximizing the benefits (e.g., convenience, ease, or finding the right product). This study examined whether smart purchasing experiences (i.e., effort and time saving, money saving, and making the right purchase) differ by product type, gender, and generation, after adjusting to the same levels of search and planning that were made before purchasing. Using 1474 respondents drawn by an online consumer panel, a series of ANCOVAs along with MANCOVA revealed that members of different genders and generational cohorts, when purchasing different product types, demonstrate distinct smart shopping purchase experiences in terms of saving time/effort, saving money, and making the right purchase. Specific suggestions are made for marketers to target each consumer and product group.</p>
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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 | 0.001 | 0.003 |
| 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 | 0.001 |
| 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 it