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Record W1971865239 · doi:10.1215/10829636-2791560

Embodying the Historical Moment: Tombs and Idols in the <i>Histoire ancienne jusqu’à César</i>

2014· article· en· W1971865239 on OpenAlexaff
Suzanne Conklin Akbari

Bibliographic record

VenueJournal of Medieval and Early Modern Studies · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicMedieval History and Crusades
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsParallelsEmblemObject (grammar)NarrativeHistoryArtLiteratureAncient historyPhilosophy

Abstract

fetched live from OpenAlex

The sharp divide between sacred and secular objects is ultimately an arbitrary one: sacrality is less a quality inherent in the object itself than a product of the way in which the object is seen. This is particularly evident in medieval universal histories, in which all events are brought within the economy of salvation history, serving as threads in a larger fabric of the narration of the past. In the construction of this historical web, monumental objects play an important role. In the thirteenth-century Histoire ancienne jusqu’à César, copied at the Crusader stronghold of Acre, objects such as the gates of Janus in imperial Rome, the Tower of Babel, and the fortified city of Troy serve as potent emblems of turning points in the historical past and as potential springboards toward an imagined future. These monumental points of reference form a lattice of historical parallels that impose form upon past time.

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)0.001
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: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.030
Scholarly communication0.0070.004
Open science0.0010.002
Research integrity0.0010.003
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 head0.058
GPT teacher head0.245
Teacher spread0.186 · 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 designTheoretical or conceptual
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

Citations3
Published2014
Admission routes1
Has abstractyes

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