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Record W3126003806

Spiritual Economies: Islam and Neoliberalism in Contemporary Indonesia

2007· article· en· W3126003806 on OpenAlexaff
Daromir Rudnyckyj

Bibliographic record

VenueSSRN Electronic Journal · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAsian Studies and History
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsNeoliberalism (international relations)IslamProtestant work ethicBusiness ethicsCapitalismPietyWorshipLanguage changePolitical economySociologyPolitical scienceLaw
DOInot available

Abstract

fetched live from OpenAlex

This essay argues that the convergence of religious ethics and business management knowledge illustrate the formation of what are termed spiritual economies. Spiritual economies conceptualize how economic reform and neoliberal restructuring are conceived of and acted on as matters of religious piety and spiritual virtue. The spiritual economy described consists of producing spirituality as an object of intervention, reconfiguring work as a form of religious worship, and inculcating an ethic of individual accountability and entrepreneurial responsibility among workers. Drawing on 18 months of ethnographic research, the majority of which took place at Krakatau Steel in Banten, Indonesia, this essay describes a moderate Islamic spiritual reform movement active in state-owned companies, government bureaucracies, and private enterprises in contemporary Indonesia. Proponents of spiritual reform consider the separation of religious ethics from economic practice as the root of Indonesia's economic crisis because this disjunction resulted in rampant corruption, inefficiency, and a lack of discipline at the workplace. The essay analyzes these efforts to inculcate Islamic ethics in combination with western management knowledge that is expected to enhance economic productivity, reduce endemic corruption, and prepare employees of state-owned enterprises for privatization.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.683
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.017
GPT teacher head0.277
Teacher spread0.261 · 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 designTheoretical or conceptual
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

Citations2
Published2007
Admission routes1
Has abstractyes

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