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Record W4405584962 · doi:10.30965/22102396-05804001

Beyond the Ambassadorial Gift in Muscovite Russia

2024· article· en· W4405584962 on OpenAlexaff
Maria Salomon Arel

Bibliographic record

VenueCanadian-American Slavic Studies · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical Influence and Diplomacy
Canadian institutionsMarianopolis College
Fundersnot available
KeywordsGenerosityGoodwillReciprocity (cultural anthropology)HonorHospitalityFriendshipSociologyPolitical scienceLawBusinessTourismSocial scienceInternet privacyComputer science

Abstract

fetched live from OpenAlex

Abstract This article explores the role of gifts in embassies to Russia in the Muscovite period, primarily in the seventeenth century. While acknowledging the importance of the ambassadorial gift presented at court in signaling honor, respect, status, and friendship between sovereigns, it shifts attention to the less glamorous, but recurring shows of goodwill and liberality evident in an ambassador’s many interactions with the tsar’s subjects, officials, and courtiers as he travelled to his destination. Pulling together scattered references to such gifts from a variety of Russian and foreign sources, the article discusses how these lesser gestures of generosity functioned within shared diplomatic conventions of the early modern era relating to gift-exchange. The discussion highlights the intertwined function of hospitality, reciprocity, sociability, the ranking of social hierarchies, and public display in the dynamic of non-ritualized diplomatic giving. It also brings into focus the role of the ambassador’s road as an ongoing site of gift exchange and of knowledge acquisition pertinent to an embassy’s tasks, including that of largesse.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.723
Threshold uncertainty score0.603

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.035
GPT teacher head0.400
Teacher spread0.365 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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
Published2024
Admission routes1
Has abstractyes

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