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Record W7054292734

Absurda un sacelšanās teorija Albēra Kamī darbā - "Svešinieks" un Mišela Velbeka darbā - "Karalauka paplašināšana"

2015· dissertation· lv· W7054292734 on OpenAlexaboutno aff

Bibliographic record

VenueE-resource repository of the University of Latvia (University of Latvia) · 2015
Typedissertation
Languagelv
FieldEngineering
TopicMagneto-Optical Properties and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsYield (engineering)LimitingProduct (mathematics)
DOInot available

Abstract

fetched live from OpenAlex

Darba nosaukums ir «Absurda un Sacelšanās Teorija Albēra Kamī Darbā – «Svešinieks» un Mišela Velbeka Darbā – «Karalauka paplašināšana».\nPētījuma mērķis ir pierādīt, ka ne tikai Alberta Kamī darba galvenais varonis ir «absurdais cilvēks» un «sacelšanās cilvēks», bet, ka arī « Karalauka paplašināšanās » galvenais varonis atbilst šiem jēdzieniem. \nPētījums ir sadalīts piecās daļās, kas ir balstītas uz Alberta Kamī un Mišela Velbeka romāniem, Kamī absurda teorijas, abu romānu satura analīzes un salīdzinājuma.\nAnalizējot Alberta Kamī darbu «Svešinieks» un Mišela Velbeka darbu «Karalauka paplašināšana» ir iespejams tajos novērot absurda un sacelšanās teorijas izpausmi.\n\nAtslēgvārdi: absurds, Velbeks, Kamī, sacelšanās, teorija, romāns, varonis, tēma, filozofs, analyse, satura analīze, tēls.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.130
Threshold uncertainty score0.258

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 studies0.0060.003
Scholarly communication0.0060.002
Open science0.0010.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0710.012

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 head0.007
GPT teacher head0.164
Teacher spread0.157 · 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 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
Published2015
Admission routes1
Has abstractyes

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