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Record W7134353168

Narrativization of history in 18th century Franciscan chronicles and in the morlachian trilogy of Ivan Aralica

2021· article· hr· W7134353168 on OpenAlexaboutno aff
Antonia Barać

Bibliographic record

VenueODRAZ (University of Zagreb Faculty of Humanities and SocialSciences) · 2021
Typearticle
Languagehr
FieldEconomics, Econometrics and Finance
TopicBalkan and Eastern European Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTrilogyWork (physics)Jet (fluid)Field (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

S posebnim fokusom na naratološke strategije same povijesti koja se konstruira tek pripovijedanjem (H. White), te na fikcionalizaciju historije i historizaciju fikcije (P. Ricoeur), osobita se pozornost u ovom radu posvećuje interferencijama Araličinih novopovijesnih romana s franjevačkim kronikama na kompozicijskoj i fabularnoj razini, potom poveznicama u narativnoj i metanarativnoj strukturi, u stilskom oblikovanju, u načinima inkorporiranja elemenata iz folklorne tradicije (legendi i predaja), u opisima odnosa katolika i muslimana, u predodžbama osmanlijske i mletačke vlasti i sl. Umijeće pripovijedanja o povijesnim događajima prati se dakle u trima franjevačkim ljetopisima (Benićevu, Lašvaninovu i Bogdanovićevu) i trima Araličinim romanima: Put bez sna (1982), Duše robova (1984) i Graditelj svratišta (1986). Tom se korpusu u analizi književnoga modificiranja povijesti u Araličinoj morlačkoj trilogiji pridodaje putopis Alberta Fortisa Put po Dalmaciji (Viaggio in Dalmazia, 1774) u kojemu talijanski putopisac donosi opise svakodnevnog života i običaja Morlaka, tj. kontinentalnog stanovništva mletačke Dalmacije. Teorijska okosnica diplomskoga rada poglavito je vezana uz pojmove poput fikcionalizacije historije i historizacije fikcije, kulture sjećanja i figura sjećanja te intertekstualnosti i citatnosti.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.512
Threshold uncertainty score0.659

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.002
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 head0.059
GPT teacher head0.201
Teacher spread0.142 · 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 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
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueODRAZ (University of Zagreb Faculty of Humanities and SocialSciences)Same topicBalkan and Eastern European StudiesFrench-language works237,207