El uso de Facebook como herramienta de comunicación en una Unidad de Salud Universitaria SAIS, un estudio de caso
Bibliographic record
Abstract
The article explores the growing role of social networks in the field of health communication, highlighting their potential as a tool that allows the difussion of clear and truthful information in simple language, promoting closeness and communication with the users of a Health Unit. The relevance of creating a multidisciplinary team that includes professionals from the communication and health areas for the construction of the content in the social networks is emphasized. The objective of the study is to identify the reach of a Health Unit's Facebook posts to know the information consumption trends of its users. This is a descriptive study with content analysis. The Facebook page has generated more than 5,900 followers in a period of 5 years, where 78% are women and 22% are men; 93% of Mexican nationality and 7% from Latin America, the United States and Canada. The publications with the greatest reach during the analysis period contain information for the prevention of diseases and topics on self-care and a healthy lifestyle.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".