MétaCan
Menu
Back to cohort
Record W4309043643 · doi:10.55877/cc.vol8.157

ANNA/ASJA LACIS AND THE MULTILINGUALITY OF THE OTHER

2022· article· en· W4309043643 on OpenAlexaff
Susan Ingram

Bibliographic record

VenueCulture Crossroads · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsYork University
Fundersnot available
KeywordsMemoirGermanContext (archaeology)ProletariatGerman cultureArt historySociologyGeopoliticsOrder (exchange)LiteratureArtAestheticsHistoryPhilosophyPolitical sciencePoliticsLinguisticsLaw

Abstract

fetched live from OpenAlex

The article discusses the multilingual nature of Anna/Asja Lācis’s own works as well as those devoted to her. When Anna Lācis’s memoirs were published in German in 1971, the editor Hildegard Brenner pointed out that the name Asja Lācis should appear more often in the research on Walter Benjamin and the cultural scene of Weimar. Asja Lācis did not receive well-deserved acclaim over the subsequent decades either. The conference, which is devoted to Asja Lācis and her work in the context of proletarian theatre and the ideas of leftism, indicates that the situation has changed under the influence of geopolitical and technological circumstances. The article analyses the influence of changes in the world on approaches to translation in culture and ensures an insight into Walter Benjamin’s translation work before meeting Asja Lācis in Capri. The goal of the paper is to analyse the efficiency of such work in order to understand both the difficulties in their relationships and the reception of their literary heritage, which are closely intertwined, as well as to facilitate the dialogue between this reception and leftism, which juxtaposes it to Antonio Gramsci’s works about translatability.

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)0.005
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: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.029
Scholarly communication0.0140.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0070.001

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 head0.022
GPT teacher head0.340
Teacher spread0.318 · 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
GenreOther

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
Published2022
Admission routes1
Has abstractyes

Explore more

Same venueCulture CrossroadsSame topicPolitical theory and GramsciFrench-language works237,207