O diálogo entre o design e a arte na sociedade de consumo: do uso ao valor de seleção
Bibliographic record
Abstract
This work's investigation is based on a study that covers the dialog between design and art on the contemporaneous consumer society, known as hyper-consumer.Within this theory, processed products compose a dialog with artistic activity that goes through associations, more usual by the second, among art universe and big brands and companies.We tried to introduce this issue showing the historical path from modern to contemporary periods, highlighting the most relevant moments in which the dialog between design and art contributed to processed products development.In order to bring these dialogs into words, four attributed values to these commodities were adopted: usage, exchange, ownership and selection.While usage and exchange appeared as typical on primary moments of this consumer period, ownership and selection were born from the hyper-consumer era, which has expanded in the past four decades.More specifically, the object selection's value was the foundation of our thoughts about the relationship between art universe and big brands.The selection value in this context represented how much emphasis the company is able to apply on its consumer, who nowadays, is capable of vary its needs and process the information that comes from the most different products and services' properties.Therefore, on a consumer market in which competition is more and more fearless, we could observe some actions that can be applied in order to create uniqueness and innovation and contribute to build values along with brands and products.To that end, we've been observing some resources that go from products and environments esthetic quality investments to different actions adopted in order to gather artistic activity like concerts, celebrations and shows.As we realized that verifying those new relationships were based on explore the system that surrounds them, we could analyze the modern art system: the Consuming Regime, as the foundation, and then its conversion to the Communication Regime, a contemporaneous art system.From this moment on, we verified how the Communication Regime remains in the net circuit, which is enlarged by new communication technologies and is able to assure the dialog between brands and processed products.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.025 |
| Scholarly communication | 0.011 | 0.011 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".