Caracterización de modelos de comunicación digital en organizaciones del tercer sector
Bibliographic record
Abstract
Los cambios establecidos por la Carta de Ottawa en la conceptualización de la salud pública sustituyeron estrategias de prevención de riesgos por otras de promoción centradas en el desarrollo de competencias. Contribuir a una mejor calidad de vida de las personas bajo condiciones sociales, políticas y económicas favorables implica asegurar los medios necesarios para un mayor control sobre las decisiones de salud con participación intersectorial conformada por diversas organizaciones. El objetivo del trabajo consiste en reconocer los modelos comunicativos en organizaciones vinculadas con la salud del Tercer Sector de la ciudad de Mar del Plata (República Argentina) en la actualidad. Sobre la población en estudio se adopta una metodología cuantitativa, descriptiva, que revela estrategias ancladas en la prevención, de carácter determinista, vertical, basadas en la difusión de contenidos y escasamente orientadas hacia la construcción colectiva de pautas de comportamiento que permitan concientizar sobre los factores contributivos al bienestar psico–bio-social.
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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 | 0.002 | 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 | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".