A língua que é capaz de incluir ou excluir um indivíduo analisada em textos publicitários da Adidas
Bibliographic record
Abstract
Resumo: Este artigo apresenta uma análise de textos publicitários da empresa Adidas e tem como objetivo identificar recursos linguísticos utilizados para fazer com que indivíduos excluídos pela sociedade sintam-se fazendo parte de um contexto esportivo. Por meio desta associação, o leitor é levado a acreditar que necessita comprar os produtos oferecidos no comercial para tornar-se uma pessoa de sucesso. Para esta análise, é realizado um estudo de dois textos publicitários divulgados na internet pela Adidas. Esse estudo é embasado em conceitos da teoria dos subentendidos contidos no texto. É realizada tambémuma reflexão sobre a diversidade linguística e social utilizada nos textos publicitários. Para isso serão utilizados alguns conceitos de Bourdieu. Por meio desta análise averígua-se como a língua é utilizada como instrumento de poder. Palavras-chave: Textos Publicitários. Recursos Linguísticos. Adidas. _______________________Abstract: This article presents an analysis of advertising texts of the Adidas Company and aims to identify language resources used to make individuals excluded by society to feel part of a sporting context. Through this association, the reader is led to believe that you need to buy the products offered in the business to become a successful person. For this analysis, we conducted a study of two advertising texts published on the Internet by Adidas. This study is grounded in concepts of the theory of implied contained in the text. It also carried out a reflection on the linguistic and social diversity used in advertising copy. For that will be used some concepts of Bourdieu. Through this analysis consider whetheras the language is used as an instrument of power. Keywords: Text Advertising. Language Resources. Adidas
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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 | 0.005 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.010 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".