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Record W3094909112 · doi:10.19195/0137-1150.173.42

Sjećanje kao pokušaj odbrane od zla u romanu Filipa Davida „Kuća sećanja i zaborava”

2020· article· hr· W3094909112 on OpenAlexaboutno aff
Marijana TERIĆ

Bibliographic record

VenueSlavica Wratislaviensia · 2020
Typearticle
Languagehr
FieldEconomics, Econometrics and Finance
TopicBalkan and Eastern European Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPhysicsCroatianHumanitiesTheologyArtPhilosophyLinguistics

Abstract

fetched live from OpenAlex

U ovome radu predmet naše analize bit će usmjeren na kategoriju sjećanja i njegovu funkciju u istraživanju povijesti, koja će odrediti junakovu sudbinu u djelu Filipa Davida Kuća sećanja i zaborava. Budući da je roman strukturiran od odvojenih priča koje povezuje ista sudbina, pokušaćemo da opišemo na koji način sjećanje utiče na glavnog junaka Alberta Vajsa, da li ono izobličuje njegovu ličnost ili je zarobljava u povijesti.Introspektivnim tehnikama unutrašnjeg monologa i naglašenom psihološkom motivacijom analiziraćemo likove trojice Albertovih prijatelja (Solomon Levi, Miša Volf i Urijel Koen) kako bismo definirali funkciju pojmova sjećanja i zaborava. Pokušat ćemo objasniti naslovnu sintagmu romana i tako dati odgovore na pitanje da li je sjećanje put izbavljenja ili odbrana od zla. Dramski elementi, emocionalni naboj, fantazmagorične slike i košmari, samo su neke od specifičnosti romana. S obzirom na to da se Albert Vajs odriče mogućnosti da zaboravi i prepušta svojoj sudbini, na kraju dolazimo do zaključka da je sjećanje povezano s identitetom i povijesti, jer postaje svjedočanstvom našega bitisanja.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.388
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.002
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.035

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 head0.053
GPT teacher head0.212
Teacher spread0.159 · 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
Published2020
Admission routes1
Has abstractyes

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