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Record W4415778228 · doi:10.1002/jcpy.70006

From kurtas to crop tops: A theory of postliminal self‐transformation

2025· article· en· W4415778228 on OpenAlexaff
Tanuka Ghoshal, Russell W. Belk

Bibliographic record

VenueJournal of Consumer Psychology · 2025
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicConsumer Behavior in Brand Consumption and Identification
Canadian institutionsYork University
FundersProfessional Staff Congress and City University of New York
KeywordsLiminalityReflexivityIdentity (music)Consumption (sociology)Embodied cognitionClothingProcess (computing)Transformative learningImperfectConstructive

Abstract

fetched live from OpenAlex

Abstract This research theorizes postliminal self‐transformation , the process by which consumers adapt to new status positions following major life transitions. Prior consumer research emphasizes liminality—the “betwixt and between” ambiguous phase— but overlooks what happens after liminality as individuals attempt to fit in. Drawing on qualitative data regarding young Indian women migrants to metropolitan corporate contexts, we reveal that transformation does not end with liminality but unfolds through a reflexive and effortful postliminal process. Women strategically use consumption—particularly of clothing and accessories—to bridge self‐discrepancies, mitigate exclusion, and gradually internalize their new professional identities. This stagewise progression moves from observation and mimicry to embodied transformation and identity mastery, often under constraints of patriarchy, class, and gender expectations. Contrasting with traditional (Western) models of adulthood that emphasize settling down, the women's postliminal adaptation is emancipatory and nonlinear, updating scripts for marking adulthood. By theorizing this postliminal adaptation, we challenge assumptions of instantaneous reincorporation, extending understanding of identity work. Our framework advances consumer psychology by showing how consumption facilitates ongoing self‐reconstruction in dynamic and inequitable social hierarchies.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.830

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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
Published2025
Admission routes1
Has abstractyes

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