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Record W7132960992

A Collection of Upper Egyptian Predynastic Ceramics from the ROM: the Potential of Legacy Collections for Egyptian Ceramic Analysis

2025· dissertation· W7132960992 on OpenAlexaffabout
Lisa Marie Wolff

Bibliographic record

VenueTSpace · 2025
Typedissertation
Language
FieldArts and Humanities
TopicCultural Heritage Materials Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsExcavationTypologySituatedSeriation (archaeology)Period (music)ChronologyPottery
DOInot available

Abstract

fetched live from OpenAlex

Ceramics are among the most abundant artifacts recovered from archaeological excavations and have long served as chronological markers and proxies for understanding social phenomena. In Predynastic Egyptian archaeology, ceramic seriation has been instrumental in constructing relative chronologies and identifying cultural and social boundaries during this formative period of Egyptian civilization. However, the universal application of these typologies often overshadows regional variation. This study applies a methodology situated in the chaîne opératoire to analyze Predynastic ceramics from the Royal Ontario Museum's collection from three Upper Egyptian sites: Abydos, el-Amra, and Armant. By critically applying standardized classification systems, including Petrie’s typology and the Vienna System for fabric analysis, this research identifies local variations in production sequences and technical traditions and identifies future areas of research for Predynastic ceramic fabric analysis. The findings reveal nuanced regional differences in ceramic technology and highlight the potential for legacy collections to contribute new data to refine existing classification systems and chronological frameworks.

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, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.122
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0010.002
Science and technology studies0.0030.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0060.000

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 head0.020
GPT teacher head0.288
Teacher spread0.268 · 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.

Study designQualitative
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
Published2025
Admission routes2
Has abstractyes

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