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
BACKGROUND: Despite a lack of good scientific evidence for their benefit, Canadians take a lot of natural health products (NHPs). The objectives of this study were to determine patients' perception of the efficacy, safety and quality of NHPs and to characterize NHP use. METHODS: A standardized, 18-question survey was distributed to the general public through a variety of methods. RESULTS: A total of 326 individuals completed the survey. Eighty-five percent of respondents take 1 or more NHPs. Forty-seven percent agreed/strongly agreed that NHPs are safer than prescription medications and 24% disagreed/strongly disagreed that prescription medications are more effective than NHPs. Three-quarters of respondents agreed/strongly agreed that health care providers should recommend NHPs more often, as most stated they preferred to take an NHP for both a minor ailment (82%) and chronic medical condition (60%). Respondents used 124 different NHPs, most commonly vitamin D, vitamin B and magnesium. Respondents purchased NHPs primarily from health/vitamin stores (66%) and accessed the Internet for information about them (64%). Younger, female respondents were more likely to take NHPs. DISCUSSION: Patients appear to be comfortable foregoing education from health care professionals about the benefits and risks of NHPs. Patients' comfort with self-prescribing NHPs seems to stem from a perception of general efficacy and quality with little to no concern about harm and appears to be strongly influenced by lay sources of information. CONCLUSION: Most respondents take 1 or more NHPs, preferring to use NHPs over prescription medications for minor and chronic health concerns seemingly based on a perception of safety and quality.
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 | 0.001 | 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