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Record W6990273100

Das Motiv der Grosstadt in der Lyrik des Expressionismus, dargestellt an Gedichten von Georg Heym, Georg Trakl, Ernst Stadler und Gerrit Engelke

2016· dissertation· en· W6990273100 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRice Digital Scholarship Archive (Rice University) · 2016
Typedissertation
Languageen
FieldArts and Humanities
TopicGerman Colonialism and Identity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsRelation (database)PoetryOrder (exchange)Quarter (Canadian coin)Industrial Revolution
DOInot available

Abstract

fetched live from OpenAlex

The purpose of this thesis is to discuss the impact of city life and modern technology on the lyrical poets of the expressionistic movement in Germany during the first quarter of the twentieth century. This particular aspect, namely the urban theme, was most noticeable in the expressionistic poetry during the years preceding the first world war. In the poems of Georg Heym, Georg Trakl, Ernst Stadler and Gerrit Engelke one sees how these poets used various aspects of city life in order to illustrate their relation to the environment, the city. There is also a discussion of the relationship between these poets and the Italian Futurists, who in 1909 proclaimed the technological and industrial revolution as the basis for a new literature.

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.

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), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.586
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.001
Scholarly communication0.0020.007
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.258
Teacher spread0.230 · 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