Cell phone product-market segments using product features as a cluster variate: a multi-country study
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
Acknowledging the importance of hybrid bases for segmenting international markets and drawing upon means–ends chain theory, this study investigates the existence of inter-market product-market segments among adolescents and young adult cell phone consumers across five country markets. On the basis of exploratory research aiming to identify a comprehensive list of cell phone features we examine the existence of inter-market segments using these feature preferences as the cluster variate. Data were gathered from 403 high school and 892 undergraduate students in Finland, UAE, China, Canada and New Zealand. The results of a two-step cluster analysis approach suggest the inter-market segments do exist in these five countries, but their existence varies to some degree from country to country. These clusters were then profiled with gender, country of residence and frequency of usage of certain cell phone functions as background variables. The paper concludes with a discussion of managerial implications and directions for future research.
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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