Traços de identidade do Rio Grande do Norte através da tipografia e das marcas vernaculares locais
Bibliographic record
Abstract
do Norte, Brazil, through typography and local vernacular marks Álvaro Sousa, José Guilherme Santa Rosa tipografia, marca, vernáculo, identidade, património A identidade de um povo é a sua cultura, sendo a expressão visual da mesma uma das suas manifestações mais evidentes.Se, em muitos casos, essa identidade é manipulada de forma a ser percecionada pelos públicos a quem se destina como uma cultura isenta de mácula, levando à perda de grande parte do seu cariz popular, outros existem em que ainda é possível, pelos mais diversos motivos, manter esses traços identificativos quase intactos, sem prejuízo de serem atualizados, isto é: sem se cristalizarem no tempo.Assim, o trabalho que se apresenta descreve e enquadra a investigação desenvolvida no âmbito de um projeto de pós-doc, sobre a recolha fotográfica e geolocalização de tipografia e marcas vernaculares existentes no espaço público do estado do Rio Grande do Norte, Brasil.Trata-se da apresentação de um olhar externo sobre uma identidade e património visíveis no dia-a-dia, mas muitas vezes pouco valorizados pelo seu grau de efemeridade.Partindo do enquadramento e clarificação dos conceitos, apresentam-se os critérios para seleção de imagens, assim como os parâmetros utilizados para classificar cada uma delas.A partir dessa classificação é possível não só organizar um banco de imagens aberto e ampliável, como também estabelecer uma base para a sua divulgação publica, de forma a aproveitar o espólio para valorizar o desenho da região. Typography, brand, vernacular, identity, heritageThe identity of a people is their culture, the visual expression of which is one of their most evident manifestations.If, in many cases, this identity is manipulated in a way that is perceived by the public to whom it is intended as a culture that is clear of macula, leading to the loss of much of its popular character, others exist in which it is still possible, by the most diverse reasons, to keep these identifying traits almost intact, without prejudice to being updated, that is: without crystallizing in time.Thus, the present work describes and fits the research carried out within a postdoc project on the photographic collection and geolocation of typography and vernacular marks existing in the public space of the state of Rio Grande do Norte, Brazil.It is the presentation of an external look about an identity and heritage visible on a day-to-day, but often little appreciated by its degree of ephemerality.Starting from the framework and clarification of the concepts, the criteria for image selection are presented, as well as the parameters used to classify each one.From this classification, it is possible not only to organize an open and expandable image bank, but also to establish a basis for its public disclosure, so as to take advantage of the assets to value the local design.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".