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Record W2914990609

Konstrukcija narativnog identiteta u romanima Davida Albaharija i Vladimira Tasića nastalim u Kanadi

2018· dissertation· en· W2914990609 on OpenAlexaboutno aff
Danijela Z. Petrović

Bibliographic record

VenueNational Repository of Dissertations in Serbia · 2018
Typedissertation
Languageen
FieldEconomics, Econometrics and Finance
TopicBalkan and Eastern European Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical science
DOInot available

Abstract

fetched live from OpenAlex

In this paper we examined different ways of construction of
\nnarrative identity in novels of David Albahari and Vladimir Tasic
\nwritten in Canada, in emigration. The impact of social, historical and
\ncultural context on the choice of narrative procedures were analyzed,
\nas well as the impact of emigration discourse. Based on the
\npresentation of space and the image of Other we examined different
\npossibilities of spacious identification, as well as the identification
\nwhich are developed out the relationship to Other.
\nOn the textual level, the choice of the topic, the current historical
\nmoment and the experience of emigration, to a certain extent,
\ninfluences the selection of certain narrative procedures, such as the
\npresence of homodiagesis, retrospektive and iterative narration,
\nfrequent change of narrative perspective.’
\nOn the other hand, the construction of narrative identity is olso
\nrealized on the basis of paratextual surroundings, primariliy on the
\nbasis of diffrent ways in which the opus of those autors was presented
\nto the publik, as well as on the baisis of context. In this peper as the
\nprimary context wich structuring the narrative identity it's being
\nanalyzed the postmodernism in it’s manifestation and theoretical
\nform.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.733
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.028
GPT teacher head0.264
Teacher spread0.235 · 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.

Study designObservational
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
Published2018
Admission routes1
Has abstractyes

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