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Record W4285038429 · doi:10.1590/1679-395120220133x

Uncertain consumption practices in an uncertain future

2022· article· en· W4285038429 on OpenAlex

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

VenueCadernos EBAPE BR · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsYork University
Fundersnot available
KeywordsExperiential learningConsumption (sociology)GriefCoping (psychology)Context (archaeology)Set (abstract data type)Consumer researchCoronavirus disease 2019 (COVID-19)PsychologyIsolation (microbiology)Public relationsSociologySocial psychologyMarketingPolitical scienceBusinessSocial sciencePsychotherapistPedagogyComputer scienceMedicineHistory

Abstract

fetched live from OpenAlex

Abstract This special issue of Cadernos EBAPE.BR sought to provoke a reflection focused on uncertain consumption practices in an uncertain future. While prior marketing and consumer research has explored consumer practices framed by an institutionalized, known, and more or less predictable context, the set of articles approved in this edition reveals different nuances. From experiential accounts of grief to the role of music in coping with the struggles of isolation to the overlap of social roles, these papers may help us to reflect on what we can do together, as a society, to tackle the challenges brought by COVID-19 not only at the local level but also globally.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.370
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.095
GPT teacher head0.328
Teacher spread0.232 · 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