MétaCan
Menu
Back to cohort
Record W2515760972 · doi:10.3138/seminar.52.3.04

Subverting Injurious Language: How Ilse Aichinger’s Narratological Strategies Liberate the Protagonist of “Spiegelgeschichte”

2016· article· en· W2515760972 on OpenAlexvenueno aff
Claire E. Scott

Bibliographic record

VenueSeminar A Journal of Germanic Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicNarrative Theory and Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsStorytellingSilenceNarrativeSubject (documents)Rhetorical questionArgument (complex analysis)Object (grammar)Order (exchange)LiteraturePsychoanalysisPsychologyLinguisticsAestheticsPhilosophyArtComputer scienceMedicine

Abstract

fetched live from OpenAlex

This essay examines the narratological and rhetorical features of Ilse Aichinger’s story of a botched abortion, “Spiegelgeschichte,” in order to highlight the challenges associated with putting female, bodily trauma into language. By focusing its analysis on the text’s second-person narration and imperative statements it makes an argument about the degree to which the protagonist is liberated from the oppressive conditions that lead to her death. Through her act of reflective storytelling the protagonist divides herself into narrated and narrating selves in order to experience herself as both subject and object and to fight back against her entrapment in a temporal chain of cause and effect. Reaching the limits of this reflective language, however, she must eventually turn to defiant silence in order to (re)establish herself as a unified subject and escape the injurious language that surrounds her.

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)0.003
metaresearch head score (Gemma)0.006
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: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0060.022
Scholarly communication0.0060.006
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.001

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 head0.036
GPT teacher head0.294
Teacher spread0.259 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueSeminar A Journal of Germanic StudiesSame topicNarrative Theory and AnalysisFrench-language works237,207