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Record W4399811869 · doi:10.1080/01419870.2024.2363521

Chinese Indonesian hometown associations in Singkawang: a sentimental construction of <i>Kampung Halaman</i>

2024· article· en· W4399811869 on OpenAlexaff
Emily Hertzman

Bibliographic record

VenueEthnic and Racial Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsIndonesianSociologyPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

After the fall of Suharto and the retraction of discriminatory laws in Indonesia, many Chinese Indonesian Voluntary Associations (CIVAs) have reemerged. Over the past two decades, hometown associations have proliferated in order to channel support to, express love for, and generate identification with the kampung halaman, or hometown. These associations do not refer to qiaoxiang (侨乡), or the ancestral villages of overseas Chinese in China, but rather hometowns around Indonesia, and members consist of local, Jakarta, or overseas-based Chinese Indonesians who engage in developing their hometowns socially, culturally, politically and economically via a series of activities. The rapid revival of hometown and other types of CVAs in the Indonesian contexts indicates the resiliency of this form of social organization as a diasporic mechanism through which to construct community, articulate feelings of home and belonging, while contributing to regional place making within diasporic imaginaries of hybrid Chineseness. This paper presents a qualitative analysis based on ethnographic research in the city of Singkawang, West Kalimantan.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.119

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0120.009
Scholarly communication0.0040.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.036
GPT teacher head0.400
Teacher spread0.364 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2024
Admission routes1
Has abstractyes

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