Marketing digital para el posicionamiento de los institutos superiores tecnológicos de Lima Metropolitana
Bibliographic record
Abstract
El objetivo principal de la investigación fue determinar si el marketing digital se relaciona con el posicionamiento de los Institutos Superiores Tecnológicos de Lima Metropolitana. La variable independiente es el marketing digital (dimensiones: Comunicación, Promoción, Publicidad, Comercialización); la variable dependiente es el posicionamiento (dimensiones: Imagen, Productos, Servicios, Personal). La población fue conformada por los alumnos de los Institutos Superiores Tecnológicos de Lima Metropolitana, que hacen un total de 2014 alumnos. La muestra final para la investigación estuvo integrada por 323 alumnos de los Institutos Superiores Tecnológicos de Lima Metropolitana.: AMAUTA (45), ARGENTINA (120); IDAT (80); MARIA DE LOS ANGELES CIMAS (40); PAUL MULLER (38). El instrumento utilizado en la investigación fue la encuesta con 34 ítems (tipo escala de Likert). Para medir la confiabilidad y validez se sometió al estadístico Alfa de Cronbach y juicio de expertos, respectivamente. El estudio demostró que, el marketing digital se relaciona significativamente con el posicionamiento de los Institutos Superiores Tecnológicos de Lima Metropolitana.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.017 | 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".