Student Reception, Sources, and Believability of Health-Related Information
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to identify the health topics students received information about, how students obtained health-related information, and perceived believability of those sources. PARTICIPANTS AND METHODS: Students (N = 1202) were surveyed using the National College Health Assessment (NCHA) of the American College Health Association. RESULTS: Nearly half (46%) of the sample reported not receiving any information, whereas only 0.5% received information on all health topics. The Internet was the most common source of health-related information, but, conversely, was perceived as the least believable source. Health center medical staff and university health educators were perceived to be the most believable sources. CONCLUSIONS: Future practice at the university setting should focus on delivering health information through believable messengers utilizing the most commonly reported sources of information. This may have implications towards how students shape their health-related social cognitions and subsequent behaviors.
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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 | 0.014 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".