Prevalence of cilantro (Coriandrum sativum) disliking among different ethnocultural groups
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
Cilantro, the leaf of the Coriandrum sativum plant, is an herb that is widely consumed globally and has purported health benefits ranging from antibacterial to anticancer activities. Some individuals report an extreme dislike for cilantro, and this may explain the different cilantro consumption habits between populations. However, the prevalence of cilantro dislike has not previously been reported in any population. The objective of this study was to determine the prevalence of cilantro dislike among different ethnocultural groups from a population of young adults living in Canada. Subjects (n = 1,639) between the ages of 20 and 29 years were participants of the Toronto Nutrigenomics and Health Study. Individuals rated their preference for cilantro on a 9-point scale from ‘dislike extremely’ to ‘like extremely’. Subjects also had the option to select ‘have not tried’ or ‘would not try’. Subjects who selected 1 to 4 were classified as disliking cilantro. The prevalence of dislike ranged from 3 to 21%. The proportion of subjects classified as disliking cilantro was 21% for East Asians, 17% for Caucasians, 14% for those of African descent, 7% for South Asians, 4% for Hispanics, and 3% for Middle Eastern subjects. These findings show that the prevalence of cilantro dislike differs widely between various ethnocultural groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.000 |
| 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 it