Comparing direct-to-consumer genetic testing services in English, Japanese, and Chinese websites
Bibliographic record
Abstract
Direct-to-consumer genetic testing (DTC-GT) has rapidly become available and affordable throughout developed countries. However, comparative research on DTC-GT services beyond Western countries has remained scarce, particularly in East Asian countries such as Japan and China. Hence, this study’s hypothesis is that although DTC-GT services in three languages might utilize the same underlying testing technology, such services are likely to represent the social, economic, and political characteristics of each country. For the study, a total of 267 websites (182 English, 32 Japanese, and 53 Chinese) were analyzed and coded reflexively into five categories for content analysis before interpretation using cluster and factor analyses. The results demonstrated variation between the three languages that reflected their respective consumer cultures: English, Chinese, and Japanese genetic testing websites focused on empowerment and ancestry; cultural values, especially familism; and health and beauty, respectively.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| 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".