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Record W4414659215 · doi:10.3138/seminar.61.3.1

Writing for the Future: “Die Forderung des Tages” as Concrete Utopia in Klaus Mann’s Narratives of Exile

2025· article· en· W4414659215 on OpenAlexaffvenue
Michel Mallet

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2025
Typearticle
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsUniversité de Moncton
Fundersnot available
KeywordsVisionUtopiaNarrativePoliticsResistance (ecology)DystopiaHumanismDream

Abstract

fetched live from OpenAlex

This article examines Klaus Mann’s utopian visions, particularly those emerging in narratives written after 1933 during his exile. It highlights how “die Forderung des Tages,” Mann’s anti-fascist “cause of the day,” plays a crucial role in his vision for a better future, marking a transition from an abstract dream to a concrete, collective goal. Mann’s later utopian visions thus resonate with Ernst Bloch’s “concrete utopia,” as outlined in Das Prinzip Hoffnung (1954). Driven by political awakening, this transition is central to Mann’s evolution as a writer and activist during his exile. His essays, journals, and autofictional works, such as Flucht in den Norden and Der Vulkan, reveal how his personal experiences shaped his portrayal of exile and resistance to the Nazi regime, demonstrating resilience and a commitment to antifascist ideals. Mann experienced growing disillusionment with Europe’s catastrophic situation, which continued to impact him on his path as an émigré to the United States. Serving as both a place of refuge and an ally, the United States becomes a beacon of hope for Mann’s vision of a Pan-Europe and a post-fascist world where democratic and humanist ideals prevail. As this article highlights, Mann’s legacy as an anti-fascist author and political activist demonstrates that his message of hope and utopian vision were intended to inspire future generations to envision and actively engage in creating a better world.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.315
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.036
GPT teacher head0.316
Teacher spread0.280 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2025
Admission routes2
Has abstractyes

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