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Record W2578823110 · doi:10.1017/s0020743816001124

THE POLITICAL ECONOMY OF PRIVATE PRINTING IN CAIRO AS TOLD FROM A COMMISSIONING DEAL TURNED SOUR, 1871

2017· article· en· W2578823110 on OpenAlexaboutno aff
Kathryn A. Schwartz

Bibliographic record

VenueInternational Journal Middle East Studies · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsProject commissioningQuarter (Canadian coin)PoliticsBattleDivergence (linguistics)PublishingHistoryManagementEngineeringLawPolitical scienceEconomicsAncient historyLinguisticsArchaeology

Abstract

fetched live from OpenAlex

Abstract This article examines the political economy of Cairo's emerging Arabic private printing industry during the third quarter of the 19th century. I use the constituent texts of the industry to demonstrate that it developed upon the speculative model of commissioning, whereby individuals paid printers to produce particular works of their choosing. Commissioning indicates that Egyptian private printing grew from local traditions for producing handwritten texts. Nevertheless, print commissioning differed from manuscript commissioning by requiring individuals to assume great financial risk. I explore the nature and implications of this divergence through a treatise published in 1871 by Musa Kastali, a particularly prolific printer who helped to professionalize Cairene printing. Musa's treatise details his legal battle with a famous Azhari commissioner, and is unique for describing a printer's business practices. It demonstrates the importance of situating printings within their socioeconomic contexts in addition to their intellectual ones, a task which cannot be done without an appreciation for the functioning of the printing industry at a local level.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.063
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0080.007
Scholarly communication0.0050.002
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.001

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 head0.090
GPT teacher head0.363
Teacher spread0.273 · 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 designNot applicable
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

Citations27
Published2017
Admission routes1
Has abstractyes

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