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Record W4249788227 · doi:10.17771/pucrio.acad.38209

A DIGITALIZAÇÃO DE UMA JOALHERIA: O IMPACTO DE MÍDIAS DE PERFORMANCE NOS RESULTADOS DE UM E-COMMERCE

2018· dissertation· pt· W4249788227 on OpenAlexaff
ROBERTO DA SILVA VIEIRA

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsImpact
Fundersnot available
KeywordsHumanitiesPhysicsPhilosophy

Abstract

fetched live from OpenAlex

O presente estudo de caso aborda o desenvolvimento e anlise da estratgia digital para mdias de performance aplicada a uma joalheria brasileira de grande porte, uma das trs maiores do Brasil. Tem como objetivo diagnosticar as possveis causas dos resultados referentes a esses canais e propor sugestes de como desenvolver o negcio de joias a partir da anlise de indicadores-chave especficos para anlises de web. Foram utilizados dados reais de uma joalheria, extrados do Google Analytics e VTEX, ferramentas de administrao e avaliao de resultados do site. Dentre os principais achados do estudo, observou-se que, num perodo de dois anos, os diferentes tipos de mdias pagas apresentaram resultados positivos de crescimento referentes s vendas e os canais orgnicos, sem custos, apresentaram queda. So dadas sugestes diversas para maximizar, principalmente, as vendas, visitas de novos usurios ao site e uma orientao de quais mdias, pagas e orgnicas,

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.107
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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.

Opus teacher head0.030
GPT teacher head0.292
Teacher spread0.262 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations0
Published2018
Admission routes1
Has abstractyes

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