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Record W7039326673

Marketing digital para el posicionamiento de los institutos superiores tecnológicos de Lima Metropolitana

2015· dissertation· es· W7039326673 on OpenAlexaboutno aff

Bibliographic record

VenueAmericanae (AECID Library) · 2015
Typedissertation
Languagees
FieldEconomics, Econometrics and Finance
TopicBusiness, Innovation, and Economy
Canadian institutionsnot available
Fundersnot available
KeywordsDigital marketingContext (archaeology)Quarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.042
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.004
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.017
GPT teacher head0.244
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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