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Record W7135917806

The theme of aging in the books The Old King in the Exile by Geiger and House of Turtles by Pent

2020· dissertation· de· W7135917806 on OpenAlexaboutno aff
Kateřina Vorlová

Bibliographic record

VenueDigital Repository (National Repository of Grey Literature) · 2020
Typedissertation
Languagede
FieldArts and Humanities
TopicMemory, History, Trauma, Identity
Canadian institutionsnot available
Fundersnot available
KeywordsTheme (computing)GermanBachelorGeiger counterQuarter (Canadian coin)Biography
DOInot available

Abstract

fetched live from OpenAlex

VORLOVÁ, Kateřina: The theme of aging in the books The Old King in the Exile by Geiger and House of Turtles by Pent. [Bachelor thesis]. UK. Faculty of Education; Department of German Studies. Leader: Mgr. Eva Markvartová, Ph.D. Degree of professional classification: bachelor; Place of defense: Faculty of Education, 2020. 46 p. The bachelor thesis focuses on the topic of dementia occurring in German-written literature. Specifically, two books are described and compared - House of Turtles by Annette Pehnt and The Old King in the Exile by Arno Geiger These mutually different works have their main theme in common - senility and dementia. In the books changes not only the attitudes of sick people towards life and their loved ones, but also the course and consequences of the disease of individual protagonists and the environment. The authors present their experiences with dementia and Alzheimer's disease, personal or otherwise acquired knowledge, and their heroes bring readers closer to the joys and sorrows of their daily lives. The first chapter deals with the problems of senility and related dementia. It contains information on how the disease arises, progresses and how its manifestations can be alleviated. The second part is devoted to the motif of old age in literature in general, as well as in the...

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)0.000
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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.063

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0030.002
Scholarly communication0.0040.004
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.006

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 head0.012
GPT teacher head0.224
Teacher spread0.212 · 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
Published2020
Admission routes1
Has abstractyes

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