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Record W2023225748 · doi:10.1353/mon.2014.0071

Theodor Fontane: Biologism and Fiction

2014· article· en· W2023225748 on OpenAlexaff
Christian Thomas

Bibliographic record

VenueMonatshefte · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicClimate Change Communication and Perception
Canadian institutionsAcadia University
Fundersnot available
KeywordsMaterialismSympathyNarrativeInstinctHumanityPhilosophyMythologyLiteratureRomancePosthumanismReductionismDeterminismMimicryAestheticsPsychoanalysisArtEpistemologyPsychologySocial psychologyTheologyEcology

Abstract

fetched live from OpenAlex

In his novels, Fontane treats mythical and scientistic biologisms, which informed the popular imagination of Wilhelminian Germany, as fictions based in culture. The assumption of the animal nature of man gave rise to determinist and materialist views. Fontane9s narrative depictions expose such biologisms as essentializing, reductionist fictions that unduly exclude cultural factors and turn a blind eye to human potentials and positive social tendencies. In refunctioning romantic myth, poeticizing science, and emphasizing sympathy/social instincts, Fontane, through narrative perspectivization, promotes counter-fictions that project a more positive image of nature and humanity, as well as a vision for science. (CT)

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)0.004
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: Empirical · Consensus signal: none
Teacher disagreement score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.008
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.412
GPT teacher head0.442
Teacher spread0.030 · 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
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

Citations4
Published2014
Admission routes1
Has abstractyes

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