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Record W4210770027 · doi:10.1080/07053436.2021.1999089

“Only so that my daughter gets exposure to the culture”: Ethnic leisure practices and intangible cultural heritage in British Indian diasporic families

2021· article· en· W4210770027 on OpenAlexvenueno aff
Utsa Mukherjee

Bibliographic record

VenueLoisir et Société / Society and Leisure · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicCultural Industries and Urban Development
Canadian institutionsnot available
FundersRoyal Holloway, University of LondonEconomic and Social Research Council
KeywordsDaughterEthnic groupIntangible cultural heritageCultural heritageGender studiesSociologyHistoryAnthropologyPolitical scienceArchaeology

Abstract

fetched live from OpenAlex

Intangible cultural heritage (ICH) as a concept has received considerable scholarly attention in recent years. However, empirical understanding of how ICH migrates, and is transmitted within diasporic communities is sparse. This paper draws upon a qualitative study with middle-class British Indian families living in and around London to unpack the ways in which ICH is enacted, interpreted, and transmitted from across generation through the construction of diasporic leisure spaces. Based on interviews with parents and children and observation of festival sites, it is argued that the leisure–ICH nexus in the diaspora materializes through two interlinked processes: “transmission of ethnic cultural capital” and “place-making.” These processes draw upon and contribute to diasporic social networks. In exploring these intersections, the paper further draws attention to how the internal differentiations within diasporic communities inflect the (re)production of diasporic leisure and ICH in the context of contemporary urban multi-culture in London.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.323
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.052
GPT teacher head0.337
Teacher spread0.284 · 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 designQualitative
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

Citations7
Published2021
Admission routes1
Has abstractyes

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