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Charles V, Emperor

2021· reference-entry· en· W4210445178 on OpenAlexvenueno aff
Rebecca Boone

Bibliographic record

VenueRenaissance and Reformation · 2021
Typereference-entry
Languageen
FieldArts and Humanities
TopicReformation and Early Modern Christianity
Canadian institutionsnot available
Fundersnot available
KeywordsCourageEmperorEmpireDutyRoman EmpirePower (physics)RulerPoliticsHistoryLawAncient historyPolitical science

Abstract

fetched live from OpenAlex

The figure of Charles V, Holy Roman Emperor (b. 1500–d. 1558), looms large over a wide swath of human experience in the 16th century. His empire impacted the direction of history in the Americas, Europe, and the Middle East. The military, diplomatic, and dynastic force of his empire weighed on cultural movements that included the Reformation, Renaissance, print revolution, witch trials, global trade, and colonization. The interplay of his narrow and shortsighted vision on one side and his military courage, administrative acumen, and devotion to duty as he understood it on the other has intrigued historians for nearly five hundred years. Every generation has found him relevant, but for different reasons. By all accounts he was talented in language acquisition. He also had the energy, intellect, and desire to understand the minutia of administrative and diplomatic business. His presence on the battlefield and documented courage helped him maintain the loyalty of his subjects. In short, he seems to have been a “good enough” emperor. Although he did not maintain political or religious unity in his empire, he defended the lands he inherited and maintained them under his family’s rule. His publicists devised an imperial program focused on his personal power as a ruler chosen by God to defend Christianity from internal and external forces of evil. The contemporary shift toward authoritarian rule in many countries today has given this program new relevance.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.028
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0040.003
Scholarly communication0.0040.002
Open science0.0000.002
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0280.012

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 head0.041
GPT teacher head0.243
Teacher spread0.202 · 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
Published2021
Admission routes1
Has abstractyes

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