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Record W7033466638

Publicidad de marca en el entorno digital caso : colombiana 100%

2018· dissertation· es· W7033466638 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueIcesi Digital Library (Icesi University) · 2018
Typedissertation
Languagees
FieldAgricultural and Biological Sciences
TopicFish Biology and Ecology Studies
Canadian institutionsnot available
FundersEgg Farmers of Canada
KeywordsContext (archaeology)Natural (archaeology)Social mediaOrder (exchange)
DOInot available

Abstract

fetched live from OpenAlex

Actualmente la publicidad digital está marcando tendencia en el mundo. Las redes sociales son esenciales para la comunicación de marca ya que permiten a las empresas tener una comunicación directa con el consumidor de manera rápida. El siguiente trabajo se realizó con el objetivo de analizar el uso de los medios digitales en la publicidad de la marca Colombina 100%. Se encontró que la marca tiene mayor actividad en la red social Facebook que en la red social Instagram lo cual genera mayor interacción con sus usuarios. Se concluyó que la estrategia de Colombina 100% es enseñar a sus consumidores las diferentes formas de consumir el producto. Para realizarlo, presentan videos de recetas e imágenes con el producto que tienen un formato estandarizado para dar a entender al consumidor que Colombina 100% es una marca natural y saludable.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.506
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.007
Open science0.0020.001
Research integrity0.0020.001
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 head0.009
GPT teacher head0.191
Teacher spread0.182 · 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