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LUGARES RURAIS E ESPACIALIZAÇÃO DO CAPITAL: O AIRBNB COMO EVIDÊNCIA DAS URBANIDADES NO RURAL EM UM ESPAÇO EM GLOBALIZAÇÃO

2021· article· pt· W3190916039 on OpenAlexaff
Joana Cruz de Simoni, João Rua

Bibliographic record

VenueGEOgraphia · 2021
Typearticle
Languagept
FieldSocial Sciences
TopicUrban Development and Societal Issues
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsSpatializationHumanitiesContext (archaeology)Capital (architecture)Political scienceGeographySociologyArtAnthropologyArchaeology

Abstract

fetched live from OpenAlex

O artigo pretende discutir uma particular maneira de espacialização do capital. Para isso, analisa a presença do Airbnb enquanto elemento na produção de espacialidades rurais, constituindo-se em uma evidência de urbanidades no rural num contexto de globalização e planetarização do urbano, tomando-se como exemplo o município de Nova Friburgo, no estado do Rio de Janeiro. Demonstra-se como o espaço se integra e, ao mesmo tempo em que se desafiam as análises dicotômicas existentes, reafirmam-se assimetrias. Destaca-se como a presença de redes técnicas intensificam e aceleram um processo de inserção do lugar rural na escala global, através do seu modelamento para o consumo (como uma representação de espaço de lazer e turismo “antiurbano”, porém, permeado de urbanidades) e sua apropriação por empresas globais, das quais o Airbnb é um exemplo. Palavras-chave: espacialização do capital, urbanidades no rural, Airbnb, planetarização do urbano, globalização. RURAL PLACES AND THE SPATIALIZATION OF CAPITAL: AIRBNB AS AN EVIDENCE OF URBANITIES ON RURAL AREAS IN A GLOBALIZED SPACE Abstract: The article intends to discuss a particular way of spatialization of capital. It analyzes the presence of Airbnb as an element in the production of rural spatialities, constituting an evidence of urbanities on rural areas in a context of globalization and planetarization of the urban, analyzing, as an example, the municipality of Nova Friburgo - RJ. It demonstrates how the space is integrated and, at the same time that the existing dichotomous analyzes are challenged, old asymmetries are reaffirmed. It stands out how the presence of technical networks intensifies and accelerates a process of insertion of the rural place on a global scale, through its modeling for consumption (as a representation of leisure space and “anti-urban” tourism, however, permeated with urbanities) and its appropriation by global companies, whose Airbnb is an example. Keywords: spatialization of capital, Airbnb, urbanities on rural areas, planetarization of the urban, globalization. LIEUX RURALES ET ESPACIALISATION DU CAPITAL: L'AIRBNB COMME UNE EVIDENCE DES URBANITÉES EN MILLIEU RURAL SOUS UN ESPACE EN MONDIALISATION Resumé: L'article entend évoquer un mode particulier de spatialisation du capital et, pour cela, il analyse la présence d'Airbnb comme élément de production de spatialités rurales, constituant une évidence d'urbanités en milieu rural dans un contexte de mondialisation et de planétarisation de l'urbain, en prenant, à titre d'exemple, la municipalité de Nova Friburgo, dans l'état de Rio de Janeiro. Il montre comment l'espace est intégré et, en même temps que les analyses dichotomiques existantes sont remises en question, les asymétries sont réaffirmées. Il surligne aussi comment la présence de réseaux techniques intensifie et accélère un processus d'insertion du lieu rural à l'échelle mondiale, à travers sa modélisation pour la consommation (comme représentation de l'espace de loisirs et du tourisme «anti-urbain» pourtant imprégné d'urbanités) et son appropriation par des entreprises mondiales, dont Airbnb est un exemple. Mots-clés: spatialisation du capital, urbanités en milieu rural, Airbnb, planétarisation de l'urbain, mondialisation.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.081

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0020.005
Scholarly communication0.0040.003
Open science0.0010.004
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.000

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.

Opus teacher head0.019
GPT teacher head0.299
Teacher spread0.280 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

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Citations0
Published2021
Admission routes1
Has abstractyes

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