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Record W7114928328 · doi:10.5281/zenodo.15739401

The Impact of Environmental Stress Factors on Egyptian Finances in the Last Quarter of the Eighteenth Century

2025· article· tr· W7114928328 on OpenAlexaboutno aff

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2025
Typearticle
Languagetr
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsQuarter (Canadian coin)AgricultureClimate changePolitical economy of climate changeEnvironmental historySocial history (medicine)

Abstract

fetched live from OpenAlex

Climate plays a crucial role in sustaining Egypt’s agricultural economy, which was essential for fulfilling financial obligations to Istanbul, including planting, taxation, and monetary transactions. However, during the late eighteenth century, various institutions, particularly the Egyptian financial system, experienced severe disruptions. The state's inability to effectively govern the province, its failure to remit taxes, and the disruption of agricultural activities led to a breakdown in social cohesion. Consequently, the disintegration of the Ottoman Porte’s political, economic, and military organization in Egypt ensued. While historians have traditionally analyzed economic, military, and political transformations through archival records and chronicles, the fundamental influence of climate on these changes remains largely underexplored. This study investigates the impact of environmental stressors such as climate variability, geographical challenges, epidemics, rebellions, and wars on Egypt’s financial collapse during the late eighteenth century. By utilizing primary sources, including the Ottoman Archives of the Republic of Turkey (BOA), contemporary chronicles, and French reports on the Nile River, this research integrates dendrochronological data for comparative analysis. The correlation between climate variability, economic instability, and political conflicts underscores the critical role of climate history in understanding the complexities of late eighteenth century Egypt.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.040
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.001
Open science0.0050.001
Research integrity0.0000.001
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 head0.093
GPT teacher head0.481
Teacher spread0.388 · 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 designObservational
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
Published2025
Admission routes1
Has abstractyes

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