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Record W4389336313 · doi:10.1515/aofo-2023-0017

Taxation and Tax Farming in the Egibi Archive

2023· article· en· W4389336313 on OpenAlexaff
Jinyan Wang

Bibliographic record

VenueAltorientalische Forschungen · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContextualizationDescendantPolitical scienceEconomyLinguisticsEconomicsPhilosophy

Abstract

fetched live from OpenAlex

Abstract The Egibi archive contains a group of texts concerning the tax farming activities of Marduk-nāṣir-apli, son of Itti-Marduk-balāṭu, the head of the Egibi family in the third generation (521–487 BCE). This group of texts includes documents that refer to various taxes, such as ilku and qaštu , mostly in the form of receipts, as well as a dossier of a rab hanše , Bēl-erība, son of Kalbāya, descendant of Šumu-libši, who was closely involved in the collection of ilku . A detailed analysis and contextualization of these texts reveal the ilku taxation processes, and the roles of the rab hanšê Bēl-erība and the tax farmer Marduk-nāṣir-apli in these processes. These texts also add more evidence for the taxation on the military fiefs and qaštu -tax in Babylon.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.029
GPT teacher head0.228
Teacher spread0.199 · 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 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

Citations1
Published2023
Admission routes1
Has abstractyes

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