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Record W2290149007 · doi:10.22456/1982-8918.57904

MARKETING ESPORTIVO, CULTURA HIP HOP E CONSUMO: UMA ANÁLISE DA CAMPANHA “É POSSÍVEL!”

2015· article· pt· W2290149007 on OpenAlexaff
Marcos Roberto Godoi, Maria Angela de Lima Dummel, Roberto Boaventura da Silva Sá

Bibliographic record

VenueMovimento (Porto Alegre) · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicPhysical Education and Sports Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsHumanitiesManifestoArtPolitical science

Abstract

fetched live from OpenAlex

Nosso objetivo foi analisar os discursos de uma campanha de marketing esportivo na Internet. O corpus de análise foi composto por: a) informações sobre o projeto; b) o manifesto; c) o documentário; d) e 13 comentários de internautas. O método baseou-se na Análise de Discurso. O tema da campanha é a superação das dificuldades no esporte, na arte e na vida. Nós constatamos uma inter-relação entre os elementos culturais e econômicos, numa associação entre a cultura hip hop, o marketing esportivo e o consumo. Porém, os interlocutores produziram vários e divergentes tipos de resposta.

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)0.005
metaresearch head score (Gemma)0.016
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.008
Science and technology studies0.0030.005
Scholarly communication0.0070.007
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.085
GPT teacher head0.360
Teacher spread0.275 · 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".

Quick stats

Citations2
Published2015
Admission routes1
Has abstractyes

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