MétaCan
Menu
Back to cohort

DOMESTIC CONFLICTS IN THE FRENCH QUARTER OF SAINT PETERSBURG UNDER PETER THE FIRST

2025· article· W4417033441 on OpenAlexaboutno aff
Aleksandr N. Andreev

Bibliographic record

VenueRSUH/RGGU Bulletin Literary Theory Linguistics Cultural Studies Series · 2025
Typearticle
Language
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)Saint petersburgSt petersburgSAINTSocial conflictPatron saint

Abstract

fetched live from OpenAlex

The article deals with domestic conflicts in the French Quarter of Saint Petersburg under Peter the Great, namely: quarrels, brawls, showdowns with insults that arose among foreign artists and artisans who inhabited the settlement. The theoretical foundation of the research is such classical tools of sociology and cultural anthropology, as the concept of “Social fields” and the theory of “Social construction”. Based on archival sources and many published materials, the author solves questions about the causes of conflicts, the conditions of their occurrence, and the differences between domestic quarrels among the French and similar incidents common among Russian citizens. The author found out that in disputes, French masters primarily defended their personal dignity, translating Western European ideas of honor. Their high self-esteem inevitably led to conflicts, which usually occurred in the process of jointly spending leisure time. The article reveals that the French craftsmen not only sworn, but also used irony, which was almost unknown in Russia as an implement of social competition. It is clear that the most important factor in aggressive behavior was the contradictions between the ambitions of the masters, their social expectations, on the one hand, and the social reality of Petersburg, as the French imagined it, on the other.

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)0.003
metaresearch head score (Gemma)0.006
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.922
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0030.007
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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; both teacher heads agree on what is shown here.

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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueRSUH/RGGU Bulletin Literary Theory Linguistics Cultural Studies SeriesSame topicSoviet and Russian HistoryFrench-language works237,207