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Record W7132884813

Gods of the City, Gods of the People: The Pantheons of Adab in the Third Millennium B.C.

2024· dissertation· W7132884813 on OpenAlexfundno aff
Émilie Pagé-Perron

Bibliographic record

VenueTSpace · 2024
Typedissertation
Language
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsnot available
FundersUniversity of Toronto
KeywordsVenerationWorshipTRACE (psycholinguistics)PoliticsPower (physics)Toponymy
DOInot available

Abstract

fetched live from OpenAlex

The main aim of this research was to identify the characteristics and trace the evolution of the pantheon of Adab throughout the third millennium BC, utilizing dedicatory and votive sources, rations and offering lists, and theophoric onomastic analysis. The research establishes three significant findings. First, the usage of divine names in inscriptions by regional rulers, local rulers, and elites unveils a correlation between the employment of these names and the legitimization of political power. Second, the reconstruction of the pantheon of gods worshipped in Adab through ration and offering lists differs from the pantheon derived from local rulers and elites, signifying diverse religious practices and the prominence of specific deities. Furthermore, by adopting a diachronic approach, this study uncovers shifts in cultic personnel associated with different gods, providing insight into the evolution of religious practices. By conducting a comprehensive analysis of the available sources, this thesis illuminates the dynamics of certain aspects of religious tradition in Adab, highlighting the complexities surrounding the selection and veneration of deities in the ancient city. These findings enhance our comprehension of the socio-political and religious landscape of the third millennium B.C., underscoring the multi-faceted nature of divine worship and its implications for the power structures and identities of Adab's inhabitants.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.079
Threshold uncertainty score0.157

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0040.002
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.026
GPT teacher head0.304
Teacher spread0.277 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2024
Admission routes1
Has abstractyes

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