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Record W2462141573

Like a Barren Sheet of Paper: Rokhl Korn from Galician Orchards to Postwar Montreal

2016· article· en· W2462141573 on OpenAlexaboutno aff
Rachel Seelig

Bibliographic record

VenueProject Muse (Johns Hopkins University) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCanadian Identity and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryHistoryLiteratureNarrativeRefugeeArt historyArtAesthetics
DOInot available

Abstract

fetched live from OpenAlex

When Rokhl Korn settled in Montreal in 1948, the period she called her “years of wandering” (na v’nod yorn) finally came to an end. Yet a profound sense of dislocation marks the poetry she produced in this postwar urban setting, where a declining Yiddish culture formed a “third solitude” bounded on either side by Quebec’s hostile Anglo-Protestant and French-Catholic communities. The lush natural description and images of Polish–Jewish harmony of Korn’s prewar poetry were replaced in her postwar poetry by somber symbolism, in which the recurring motif of white paper signifies the futile attempt to recreate a vanished world. Tracing the imagistic shift in Korn’s writing from thriving trees to lifeless paper, this essay explores what Korn regarded as the transformation of Yiddish from an organic, indigenous aspect of interwar Poland to an uprooted, moribund refugee language within a culturally divided urban space. The essay thus sheds light on an underexplored Yiddish woman poet while expanding the dominant narrative of American Yiddish literature to include the unique experience of Holocaust refugees in Montreal.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.150
Threshold uncertainty score0.302

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0210.009
Scholarly communication0.0040.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0060.000

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 head0.011
GPT teacher head0.208
Teacher spread0.197 · 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 designQualitative
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

Citations1
Published2016
Admission routes1
Has abstractyes

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Same venueProject Muse (Johns Hopkins University)Same topicCanadian Identity and HistoryFrench-language works237,207