MétaCan
Menu
Back to cohort
Record W2999990217 · doi:10.1111/glal.12250

HERTA MÜLLER'S RESHAPING OF GERMAN CULTURAL MEMORY

2020· article· en· W2999990217 on OpenAlexaff
Karin Bauer

Bibliographic record

VenueGerman Life and Letters · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicGerman History and Society
Canadian institutionsMcGill University
Fundersnot available
KeywordsCollective memorySolidarityCultural memoryGermanSociologyContext (archaeology)Relevance (law)National identityConstitutionDemocracyEthnic groupCollective identityAestheticsMedia studiesPolitical scienceAnthropologyHistoryLawLinguisticsPoliticsPhilosophy

Abstract

fetched live from OpenAlex

Abstract Seeking to explore the contemporary relevance of Herta Müller's work in the context of national and transnational memory cultures, this article examines the constitution of individual and collective memory and the ethical implications it carries for envisioning a more just future. My interest lies in exploring the challenge that Müller's approach to the labour of memory poses to conceptions of cultural memory and, related to it, to notions of national identity, national literary canons, and authorship. I ask how the ethical and aesthetic precepts of Müller's disruptive memories in her written work and her numerous public interventions may contribute to an affirmation of human rights today – at a time when democratic values are increasingly under threat. I argue that Müller's work – augmented by her public engagement – contributes to the reshaping of cultural memory from a narrowly conceived national one toward a deterritorialised collective memory that may transcend national and ethnic boundaries and foster new kinds of solidarity.

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)0.004
metaresearch head score (Gemma)0.005
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 score0.006
Threshold uncertainty score0.031

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.027
Scholarly communication0.0060.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.047
GPT teacher head0.240
Teacher spread0.193 · 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
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueGerman Life and LettersSame topicGerman History and SocietyFrench-language works237,207