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Record W2803542279 · doi:10.3138/seminar.54.2_008

World Literature without Goethe: On Pramoedya Ananta Toer’s Labour Camp Memoirs<i>The Mute’s Soliloquy</i>

2018· article· en· W2803542279 on OpenAlexvenueno aff
Carl Niekerk

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsVariety (cybernetics)SoliloquyArbitrarinessContext (archaeology)HumanitySociologyReading (process)LiteratureMemoirObject (grammar)World literatureHistoryAestheticsEpistemologyLinguisticsArtPhilosophyComputer science

Abstract

fetched live from OpenAlex

This essay offers a critical reevaluation of the concept “world literature” based on a reading of a series of deliberations in Pramoedya penal colony memoirs The Mute’s Soliloquy (Indonesian 1995 and 1997/English version 1999), in particular concerning German literature and history. In order to work with literature in a global context, one needs to do justice to the material conditions under which literature originates and is being read; it also needs to be acknowledged that “literature” is a modern Western invention that has no precise equivalent in many other cultures. The essay argues against a Herderian-Goethean view of “world literature” as an accumulation of the qualitative accomplishments and values of a specific cultural community. It also problematizes the category of “understanding other cultures” in the reception of a text. Instead, it argues that “literature” can travel in many different directions and take on a variety of functions. Pramoedya’s deliberations emphasize the importance of literature as memory work, with the understanding that the memories and real-life experiences contained in literature can differ widely, depending on the circumstances of a text’s reception. Only if we recognize the specific temporal and spatial circumstances under which texts emerge and are read, in particular also non-canonical texts, can we start to think about the object perceived as “literature” as not only fostering a sense of difference, but also as having the potential to reflect on what humanity has in common.

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)0.002
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.016
Scholarly communication0.0070.006
Open science0.0010.005
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0030.001

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 head0.039
GPT teacher head0.300
Teacher spread0.261 · 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 designTheoretical or conceptual
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
Published2018
Admission routes1
Has abstractyes

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