A PRESENÇA DIGITAL NO INSTAGRAM DA MARCA ADIDAS EM 2017
Bibliographic record
Abstract
This project analyzes the digital presence of Adidas Brasil and Adidas Originals in 2017 on Instagram, covering the period of June and July of 2017. In this period, we analyzed how the brand develops its communication, mapping the characteristics and their differences on Instagram. The communication strategy most used by the brand Adidas Brasil and Adidas Originals was identified, as well as the brand operates in each profile. It was analyzed in which phase of the digital presence each profile is acting (STRUTZEL, 2015) and finalizing, it is presented which social media generates more engagement for the brand, through a qualitative/quantitative research, using the content analysis. Adidas Brasil and Adidas Originals use testimonial and information strategies through their publications on Instagram profiles. This work concludes that the two profiles are not at all stages of the digital presence, but Adidas Originals is the one that generates more engagement with the public.
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 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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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 | 0.004 |
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; both teacher heads agree on what is shown here.
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".