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Record W6981894434

Florence, Pius II, and Jacopo Piccinino in 1458: A Case-Study of Gifts and Status in \nDiplomacy

2017· article· en· W6981894434 on OpenAlexaboutno aff

Bibliographic record

VenueDigital Commons - East Tennessee State University (East Tennessee State University) · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Egypt and Archaeology
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsAppropriationGossipState (computer science)Power (physics)Action (physics)InstitutionInvocation
DOInot available

Abstract

fetched live from OpenAlex

Book Summary: The essays in this collection explore the languages - artistic, symbolic, and ritual, as well as written and spoken - in which power was articulated, challenged, contested, and defended in Italian cities and courts, villages, and countryside, between 1300 and 1600. Topics addressed include court ceremonial, gossip and insult, the performance of sanctity and public devotions, the appropriation and reuse of imagery, and the calculated invocation (and sometimes undermining) of authoritative models and figures. The collection balances a broad geographic and chronological range with a tight thematic focus, allowing the individual contributions to engage in vigorous and fruitful debate with one another even as they speak to some of the central issues in current scholarship. The authors recognize that every institutional action is, in its context, a political act, and that no institution operates disinterestedly. At the same time, they insist on the inadequacy of traditional models, whether Marxian or Weberian, as the complex realities of the early modern state pose tough problems for any narrative of modernization, rationalization, and centralization. The contributors to this volume trained and teach in various countries - Italy, the United States, Canada, the United Kingdom, and Australia - but share a common interest in cultural expressions of power.

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
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.553
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.000
Science and technology studies0.0020.002
Scholarly communication0.0000.003
Open science0.0010.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.205
Teacher spread0.181 · 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
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueDigital Commons - East Tennessee State University (East Tennessee State University)Same topicAncient Egypt and ArchaeologyFrench-language works237,207