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Record W4205389021 · doi:10.1093/jcr/ucab046

Consumer Timework

2021· article· en· W4205389021 on OpenAlexaff
Thomas Derek Robinson, Ela Veresiu, Ana Babić Rosario

Bibliographic record

VenueJournal of Consumer Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsYork University
Fundersnot available
KeywordsConsumption (sociology)NegotiationExtant taxonConsumer researchSociologyDynamics (music)Consumer behaviourMarketingResource (disambiguation)BusinessSocial scienceComputer science

Abstract

fetched live from OpenAlex

Abstract This article unpacks time as a cultural consumption resource and introduces the concept of consumer timework. Consumer timework refers to marketplace stakeholders’ negotiation of competing interpretations of how the past and the future relate using a wide range of consumption objects and activities. Building on the theory of temporalization, we argue that social tensions, conflicts, and breaks drive the past and the future apart in multiple incompatible ways that individuals and societies must contend. We theorize four fundamental dynamics of consumer timework in which market stakeholders engage: integrative, disintegrative, subjugatory, and emancipatory. Integrative and disintegrative consumer timework respectively harmonize and rupture the multiple temporal orientations (past, present, and future) to create shared communities or counter-communities of time through consumption. Subjugatory and emancipatory consumer timework respectively enforce and disrupt temporal hierarchies of power through consumption. We delineate these temporal dynamics using examples from extant consumer research. We conclude by establishing a future research agenda on consumer timework.

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)0.003
metaresearch head score (Gemma)0.002
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.148
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.220
GPT teacher head0.459
Teacher spread0.239 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations32
Published2021
Admission routes1
Has abstractyes

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