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Record W7110040915 · doi:10.5281/zenodo.17848521

La Alexiada

2025· book· W7110040915 on OpenAlexaff

Bibliographic record

VenueZenodo (CERN European Organization for Nuclear Research) · 2025
Typebook
Language
FieldArts and Humanities
TopicByzantine Studies and History
Canadian institutionsWSP (Canada)
Fundersnot available
KeywordsHistoriographyContext (archaeology)Order (exchange)Faith

Abstract

fetched live from OpenAlex

La Alexíada es una obra histórica escrita originalmente en griego medieval por Ana Comnena, hija del emperador bizantino Alejo I Comneno. A través de un vívido relato en primera persona, la autora reconstruye los acontecimientos clave del reinado de su padre (1081–1118), destacando las intrigas cortesanas, las campañas militares contra normandos, pechenegos y selyúcidas, y las complejas relaciones diplomáticas con Occidente durante las Cruzadas. Esta edición crítica, preparada por el Dr. Jorge Fymark Vidovic López, se basa en una copia digital del Laboratorio de Gestión del Patrimonio Cultural de la Universidad del Egeo, e incluye el texto íntegro en su lengua original. Publicada bajo licencia Creative Commons, forma parte del proyecto internacional Paths of Faith – Digital Patristics, y ofrece a investigadores, estudiantes y lectores especializados una fuente invaluable para comprender la política, cultura y espiritualidad del Imperio Bizantino en el tránsito del siglo XI al XII.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.034
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.009
Scholarly communication0.0060.003
Open science0.0010.005
Research integrity0.0010.005
Insufficient payload (model declined to judge)0.0340.008

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 head0.038
GPT teacher head0.226
Teacher spread0.188 · 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
Published2025
Admission routes1
Has abstractyes

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