Overview of the Use of Communication Media as a Health Information Center
Bibliographic record
Abstract
Background and Purpose: Health information actually aims to collect, store and make patient health information available and easily accessible when needed. The purpose of this study is to describe the use of communication media as a health information center. Methods: This study is a descriptive research design. Data collected using a questionnaire. The data of this research are categorical variables from several groups so that it uses the frequency distribution test. Reference search results are entered into the Mendeley app using the Vancouver system. Results: shows a total sample of 103 people aged 20 years 5 people (4.9%), 21 years 13 people (12.6%), 22 years 57 people (55.3%), 23 years 23 people (22.3%) and 24 years 5 people (5.9%). Based on gender, 88 people (85.4%) and 15 women (14.6%) were obtained. Conclusion: respondents often receive health information through social media, respondents also find it useful after getting information and users also usually continue to return health information received to other users. Keywords: health information, students, health
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 source (direct Gemma or distilled Codex), 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".