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Record W7065928285

Glass, Lamps, and Jerash Bowls:Final Publications from the Danish-German Jerash Northwest Quarter Project III

2021· article· en· W7065928285 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAstrophysical Phenomena and Observations
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Period (music)PopulationDuration (music)
DOInot available

Abstract

fetched live from OpenAlex

Gerasa, a Decapolis city in northern Jordan, has long been of interest to the international community of archaeologists and ancient historians. The final publications of the Danish-German Jerash Northwest Quarter Project is the most comprehensive publication on the archaeology of the site, since the 1938 publication edited by C. H. Kraeling. The Decapolis city of Jerash has long attracted attention from travellers and scholars, due both to the longevity of the site and the remarkable finds uncovered during successive phases of excavation that have taken place from 1902 onwards. Between 2011 and 2016, a Danish-German team, led by the universities of Aarhus and Münster, focused their attention on the Northwest Quarter of Jerash — the highest point within the walled city — and this volume is the third in a series of books presenting the team’s final results. The contributions gathered together in this volume provide an in-depth analysis of the glass finds, the lamps, and the iconography of the Jerash bowls discovered in the Northwest Quarter during the excavations. Together, these chapters provide both general overviews and more detailed insights into these important groups of material evidence, and also examine their stratigraphic contextualization and chronological spread across the centuries.

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)0.002
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0020.001
Scholarly communication0.0050.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.006

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 head0.022
GPT teacher head0.257
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

Citations0
Published2021
Admission routes1
Has abstractyes

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