Bibliographic record
Abstract
El marketing social ha obtenido grandes progresos en el desarrollo de la praxis, pero aún son insuficientes en el aspecto disciplinar, por lo novedosos y porque sólo hasta ahora se le está mirando con la suficiente profundidad académica. Antecedentes, generalidades, aproximaciones a una definición de marketing social, la segmentación del grupo objetivo y sus variables, la definición de producto social, algunas consideraciones sobre su utilización, características, principios de marco teórico, retos, tendencias a futuro y su articulación con la promoción de la salud son puestos a consideración de la comunidad académica para el debate y su reconstrucción, en aras de encontrar los argumentos solidos que lo consoliden científicamente, consciente de que en ciencias sociales no existe certidumbres ni palabras finales.Aunque herramienta novedosa derivada del mercado comercial, ha resultado ser la estrategia utilizada y recomendada en las ultimas décadas por la Organización Mundial de la Salud-OMS-, la Organización Panamericana de la Salud-OPS-, la Fundación de las Naciones Unidas para la Defensa de la Niñez- UNICEF- y la Conferencia de Ottawa para Planear, diseñar, ejecutar, controlar y evaluar los proyectos, programas y campañas de educación en promoción de la salud y prevención de las enfermedades por los resultados positivos y los éxitos alcanzados con su aplicación.The social marketing has obtained big progresses in the developed of the practice, but they are still insufficient in the aspect to discipline, for the new thing and because only up to now is looking with the enough academic depth. Records, generalities, approaches to a definition of social marketing, the segmentation of the objective group and their variables, the definition of social product, some considerations on their use, characteristic, principles of the theoretical mark, challenges, tendencies to future and their articulation with the promotion of the health are put to consideration of the academic community for the debate and their reconstruction, for the sake of finding the solid arguments that consolidate it scientifically, conscience that in social sciences certainties neither final words don´t exist.Although derived novel tool the commercial marketing, it has turned out to be the utilized strategy and recommended in the last decades by World Organization of the Health-OMS- , the Pan-American Organization of the Health-OPS-, the Foundation of the United Nations for the Defence of the Childhood-UNICEF- and the Conference of Ottawa to drift, to desing, yo execute, to control and to evaluate the projects, programs and education campaigns in promotion of the health and prevention of the illnesses for the positive results and the successes reached with their application.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.513 | 0.322 |
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".