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Record W2163634000

Kulturoznawstwo porównawcze Stevena Tötösy'ego w kontekście środkowoeuropejskim

2007· article· pl· W2163634000 on OpenAlexaboutno aff
Agata Lisiak

Bibliographic record

VenueAdam Mickiewicz University Repository (Adam Mickiewicz University in Poznan) · 2007
Typearticle
Languagepl
FieldSocial Sciences
TopicCentral European Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)GermanScope (computer science)SociologyEpistemologyPolitical scienceHistoryPhilosophyLinguisticsArchaeologyComputer science
DOInot available

Abstract

fetched live from OpenAlex

Agata Lisiak, THE COMPARATIVE CULTURAL STUDIES OF S TEVEN TOTOSY IN THE CENTRAL EUROPEAN CONTEXT. POROWNANIA 4/2007, Vol. IV, ISSN 1733-165X, p. 53-60. The aim of the author is to present chosen elements of the Canadian comparatist Steven Totosy's theory and their application in the analysis of the Central European cultures. In an attempt to restore the proper stat us of comparative studies, which has been lost in the rec ent decades in favour of cultural studies, Totosy u nites both fields in the scope of the synthetic concept of com parative cultural Its main assumptions are presented in the ten general principles. They allow to define To tosy's project as, i.a. interdisciplinary, intercul tural, pluralistic, Anglophone and methodologically reliab le. The author points to the applicability of the bove mentioned principles in the research on Eastern and Central European culture, supported by the analyse s carried out by the Totosy himself, e.g. in the works on the contemporary Eastern German and Hungarian prose. The author claims that a more frequent and widespread application of Totosy's theory can result in preven ting the fall of comparative studies into the sea of dead ac ademic disciplines but also bringing about greate r interest for the Central European studies.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.032

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.004
Scholarly communication0.0050.003
Open science0.0000.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.003

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 head0.009
GPT teacher head0.210
Teacher spread0.200 · 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 designTheoretical or conceptual
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
Published2007
Admission routes1
Has abstractyes

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