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Record W7021175993

Nino Haratischwili i jej literacki obraz Gruzji przedstawiony w utworach prozatorskich

2024· other· pl· W7021175993 on OpenAlexaff

Bibliographic record

VenueUMCS Library (Maria Curie-Skłodowska University) · 2024
Typeother
Languagepl
FieldComputer Science
TopicTopic Modeling
Canadian institutionsWiLAN (Canada)
Fundersnot available
KeywordsTerm (time)Perspective (graphical)Subject (documents)Context (archaeology)
DOInot available

Abstract

fetched live from OpenAlex

The prose works of Nino Haratischwili, a Georgian writer and playwright born in Tbilisi in 1983 and now living in Germany, contain autobiographical elements and motifs.In her monumental novels, reminiscent of the family sagas of the realist era, the author depicts the fate of Georgia and the Georgian nation from the late 19 th century to recent times.The historical events, dating back to Tsarist Russia, show, on the one hand, the disintegration of the state, the burial of hopes of regaining independence and the dramatic events of the totalitarian period, the communist Soviet Union, but on the other hand, depict the complex situation that occurred in the 1990s, the internal conflicts and their impact on the lives of ordinary citizens.The aim of this article is to present the vision of the Georgian state and nation contained in the prose of the Georgian-German author.The following text analyses the Haratischwili's novels, as well as selected interviews conducted with her and the literature on Georgia's geopolitical situation.In conclusion, it was found that the picture presented by the writer is complex.It depicts both difficult moments for the nation and those that inspire hope for a better future.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.004
Scholarly communication0.0040.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0060.002

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 head0.012
GPT teacher head0.193
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 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
Published2024
Admission routes1
Has abstractyes

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