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Record W4386531855 · doi:10.1177/14705931231201780

How consumer-initiated platforms shape family and consumption

2023· article· en· W4386531855 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

VenueMarketing Theory · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicSharing Economy and Platforms
Canadian institutionsMemorial University of Newfoundland
FundersSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung
KeywordsConsumption (sociology)MarketingBusinessSociologyAdvertisingSocial science

Abstract

fetched live from OpenAlex

Research has recently highlighted processes of platformization through which consumer activities are shaped by socio-technical features of digital environments. Prior theorizations have focused on corporate-initiated platform dynamics and affordances, emphasizing either the managerial facets of platformization or how consumers use and interact with these platforms. Our interpretive research on Familyship.org offers a contrasting case and theorizes how ordinary consumers, thwarted by social and legal constraints in their desires to create families, leverage platformization for family creation and consumption. Our findings conceptualize consumer-initiated platforms and show how their key affordances— embeddedness, privacy, modularization, and scaling—shape one of the most sacred spheres of life, the institution of family. Our study contributes by theorizing how consumer-initiated platform affordances differ from dominant corporate-initiated ones and why the differences matter. We discuss how they can help consumers to find solutions to acute consumption problems and to reimagine dominant cultural institutions.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.339
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.050
GPT teacher head0.229
Teacher spread0.178 · 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