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An Analysis of the Possible Influence of Climate on Settlement Shifts across the Karak Plateau and Surrounding Region, Jordan: Chalcolithic through Umayyad Periods

2011· article· en· W2732460144 on OpenAlexvenueno aff
Mark Green

Bibliographic record

VenueArab world geographer · 2011
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEscarpmentPlateau (mathematics)AridGeographySettlement (finance)Desert climateWadiPeriod (music)ArchaeologyDesert (philosophy)PrecipitationChalcolithicFlora (microbiology)Physical geographyGeologyPaleontology

Abstract

fetched live from OpenAlex

The physical setting of the Karak Plateau and surrounding region in west-central Jordan provides an excellent opportunity to analyze ancient settlement practices and patterns. The western upland region is typified by agriculturally productive soils, annual precipitation amounts near 500 mm, and physical isolation from regions to the north and south by virtue of the Wadis Mujib and Hasa. The rocky slopes of the Dead Sea escarpment and the arid conditions of the Syrian/Arabian desert define the region's western and eastern borders. This paper explores the movement of ancient site locations across this diverse landscape from the Chalcolithic through the Umayyad periods, against the backdrop of climate and climate change. Though ancient settlement decisions were made on the basis of numerous and often complex factors (environmental and socio-political), this investigation found a definite correlation between climatic conditions and site location decisions. With one exception (the Nabatean Period), site densit...

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 score0.029
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.037
GPT teacher head0.272
Teacher spread0.235 · 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

Citations2
Published2011
Admission routes1
Has abstractyes

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