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Record W4300068069 · doi:10.1017/9781009257749.003

“The House the Boom Built”: The Informal Economy and Islamist Politics in Egypt

2022· book-chapter· en· W4300068069 on OpenAlexaff
Khalid Mustafa Medani

Bibliographic record

VenueCambridge University Press eBooks · 2022
Typebook-chapter
Languageen
FieldBusiness, Management and Accounting
TopicIslamic Finance and Banking Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsIslamBoomState (computer science)RemittanceCapitalizationPoliticsOil boomCapital (architecture)Foreign direct investmentUnintended consequencesAutonomyEconomyBusinessEconomicsPolitical scienceEconomic growthGeographyLaw

Abstract

fetched live from OpenAlex

In Egypt migrant remittances and the flow of petrodollars in the era of the oil boom provided capitalization of Islamic banks and a host of Islamic investment companies that operated outside the system of state regulation. Such bankers drew on the rapidly growing wealth of those businessmen with long-standing connections in the Gulf, including, most importantly, members and sympathizers with the Muslim Brotherhood (MB). This boom in labor export and remittance flows also helped shape Egyptian national economic functions, out-migration and the burgeoning informal economy afforded the Egyptian state enough “relative autonomy” to allow it to expand the private sector and begin to decentralize the country’s economic system. It enabled the Egyptian state to relax foreign exchange regulations to stimulate a foreign capital influx. However, the unintended consequences of these policies were opening the door for Islamic financial institutions, which helped finance and popularize the middle class-based Islamic movement.

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)0.000
metaresearch head score (Gemma)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0040.007
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.171
Teacher spread0.158 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

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