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Record W63900918

The mummy of Shoshenq I re-discovered?

2005· article· W63900918 on OpenAlexaboutno aff
Troy Sagrillo

Bibliographic record

VenueCronfa (Swansea University) · 2005
Typearticle
Language
FieldArts and Humanities
TopicPaleopathology and ancient diseases
Canadian institutionsnot available
Fundersnot available
KeywordsArtHistory
DOInot available

Abstract

fetched live from OpenAlex

In Gttinger Miszellen 198 (2004):55-62, R. L. Miller identifies a mummy formerly in the collection of the Niagara Falls Museum with that of Shoshenq I (though other candidates are not ruled out), primarily on the basis of a tree-ring calibrated radiocarbon date.A reexamination of the historical evidence cited by Miller in support for this contention makes such an identification implausible.Recently, R. L. Miller (2004) has proposed that the probable royal mummy formerly in the collection of the Niagara Falls Museum,1 Ontario, Canada, may be that of king Shoshenq I, the Libyan founder of Dynasty XXII.As part of a series of examinations undertaken by Miller, samples of tissue-abdominal skin and muscle (Miller 2004, 61)-were submitted for 14C AMS testing in 1994.This yielded an uncalibrated determination of 2734 60 BP, which can be calibrated with a probability of 95.4% to the period 1010-790 BCE using the OxCal 3.8 calibration (Miller 2004, 55, 57).Miller (2004, 56-58) argues that low peaks on the calibration graph would not rule out proposals to identify the mummy with one of the sons of Ramesses II, or with one of the Ramesside kings of Dynasty XX (Miller 2004, 58, citing personal communications with S. Orel, 1994 and 2001; see also Rose 2003, 23).It would, however, exclude earlier New Kingdom dates, and thus making the widely repeated claim that this is the mummy of Ramesses I particularly unlikely.

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 categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.941
Threshold uncertainty score1.000

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 studies0.0020.003
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.017
GPT teacher head0.196
Teacher spread0.178 · 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; both teacher heads agree on what is shown here.

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

Citations0
Published2005
Admission routes1
Has abstractyes

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