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Reconstructing the climate of Ancient Babylonia

2020· article· en· W3099777622 on OpenAlexaff
Rhonda McGovern, Conor Kostick, Laura Farrelly, Francis Ludlow

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsTrinity College
Fundersnot available
KeywordsMesopotamiaPeriod (music)HistoryAncient historyClassicsGeographyArt

Abstract

fetched live from OpenAlex

Ancient Babylonia is a kingdom / province in the Fertile Crescent in south-central Mesopotamia (modern day Iraq). It has a rich textual and archaeological history and is the origin of many scientific and cultural advances, such as the definition of the seven-day week, the invention of zero, and many legal principles still underlying modern contract, tort, criminal, property, and family law. The Irish Research Council-funded “Climates of Conflict in Ancient Babylonia” (CLICAB) project aims to investigate climatic changes in Babylonia during the final eight centuries BCE and assess for linkages to patterns of violence and conflict, through the application of methods from historical climatology to the wealth of data available. Although there are gaps in the recorded observations, and potentially more tablets yet to be found and translated, the 209 precisely dated, transliterated and translated tablets presently available will provide for many years a sub-daily window into the weather, and therefore the climate of this key historical region. This is a far greater resolution than is currently available for any region or period in the Ancient world, and indeed unprecedented in the world of historical climatology before the Early Modern Period. Key to the project’s broader aims is the reconstruction of the climate for the region based on the information held in the Babylonian Astronomical Diaries. This paper thus examines the process of mining information from the detailed record maintained by Ancient Babylonian scribes in the Astronomical Diaries and presents an overview of the findings. These diaries are a collection of cuneiform tablets spanning 652-61BC, housed in the British Museum. They are rich in systematic weather observations (even down to an hourly resolution), astronomical phenomena, price data, and river heights for the Euphrates. Much work has been undertaken to examine the economic, astronomical and fluvial data, but until now the weather observations have remained relatively untouched, despite their unparalleled temporal resolution for this period, the systematic methodology applied in their recording, and the sheer breadth of information provided. This ranges from wind direction and intensity, to the level of cloud cover and references to atmospheric clarity (clear vs. dusty skies), to the general conditions (temperature and precipitation), for all seasons. This project will see the reconstruction of the climate for the region of Babylonia, and therefore provide one of the oldest weather records in the world. This paper presents high-resolution weather data from the Astronomical Diaries. Specifically, the authors will present the frequency of meteorological extremes over the period, alongside a discussion into the mitigation methods the Babylonians employed to reduce their vulnerability to these extremes. KEYWORDS: Ancient Babylonia, Climate, Conflict

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.089
Threshold uncertainty score0.177

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.052
GPT teacher head0.198
Teacher spread0.146 · 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 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
Published2020
Admission routes1
Has abstractyes

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