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Consumo colaborativo e valores pessoais:

2020· article· pt· W4245124735 on OpenAlex
Márcio Gasperini Gomes, Luiz Carlos De Carvalho Júnior

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueRevista Catarinense de Economia · 2020
Typearticle
Languagept
FieldBusiness, Management and Accounting
TopicConsumer Retail Behavior Studies
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Alavancado por motivações individuais e questões ambientais, sociais e econômicas, o consumo colaborativo é um fenômeno recente que vem alterando o funcionamento da economia global ao proporcionar aos consumidores uma nova forma de acomodar seus desejos e necessidades de maneira conveniente e sustentável. Associado a isso, as redes de informação energizadas pela Internet têm modificado significativamente o modo e a velocidade com que os agentes econômicos se relacionam. Nesse sentido, o objetivo deste trabalho é identificar a percepção dos consumidores da cidade de Florianópolis (SC) acerca do consumo colaborativo. Os resultados mostraram que os consumidores apresentam propensão a participar do consumo colaborativo, sendo a Lagoa da Conceição a localidade com maior adesão, seguida por Continente, Trindade e Centro. Além disso, a mensuração dos valores pessoais, realizada neste trabalho, permitiu observar que os consumidores mais abertos à mudança, menos conservadores e menos apegados materialmente apresentam maior propensão a participar do consumo colaborativo, como é o caso da Lagoa da Conceição.

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.

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)0.000
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.008

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 head0.041
GPT teacher head0.242
Teacher spread0.202 · 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