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Record W7015659619

Synoptiske variasjoner : enhet og mangfold i Aksel Sandemoses noveller

2002· dissertation· no· W7015659619 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2002
Typedissertation
Languageno
FieldArts and Humanities
TopicCultural Studies and Interdisciplinary Research
Canadian institutionsnot available
Fundersnot available
KeywordsProduct (mathematics)Field (mathematics)Feminism
DOInot available

Abstract

fetched live from OpenAlex

Jeg har skrevet om Aksel Sandemoses noveller, oppgavens tittel er Synoptiske variasjoner. Enhet og mangfold i Aksel Sandemoses noveller. Tekstene jeg har tatt for meg er Skilte veier , Julemorgen , Det stod en benk i hagen , Agnes, min deilige sommerfugl , Te Deum , Fluene summer og Elven . Novellene er hentet fra novellesamlingene Fortællinger fra Labrador (1923), Sandemose forteller (1937), Fortellinger fra andre tider (1940), Agnes, min deilige sommerfugl (1946) og Dans, dans Roselill  (1965). \n\tI disse tekstene er temaene ofte de samme, men de varieres og utdypes etter hvert som novelleforfatterskapet utvikler seg i retning av det psykologiske, symbolske, gåtefulle og mytiske. Mange av Sandemoses noveller har vært gjenstand for gjenbruk  de har blitt omarbeidet flere ganger før de har fått sin endelige form i Dans, dans, Roselill . Utviklingen av tematikken og tekstene skaper et mangfold hos Sandemose, og jeg forsøker å vise dette gjennom analyser og sammenlikninger med andre utgaver og tekster. Her er sammenhengen mellom form og innhold viktig. Deretter plasserer jeg novellene i forfatterskapet.\n\tMetoden som brukes er en tekstimmanent nærlesningsmetode, der teksten er i fokus, men jeg perspektiverer den i retning av forfatterskap og sjanger. I sjangerdiskusjonen tar jeg utgangspunkt i debatten som pågikk i Norden på 1980-tallet. Ellers benytter jeg meg av narratologiske begreper og freudiansk psykoanalyse.

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), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesScience and technology studies, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.139
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0060.004
Scholarly communication0.0000.001
Open science0.0020.002
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0590.003

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 head0.088
GPT teacher head0.304
Teacher spread0.216 · 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
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
Published2002
Admission routes1
Has abstractyes

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