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Record W1457965423

Bridging the Divide: The Selected Poems of Hava Pinhas-Cohen

2015· book· en· W1457965423 on OpenAlexaboutno aff
Hava Pinhas-Cohen, Sharon Hart-Green

Bibliographic record

VenueSyracuse University Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryHebrewJudaismLiteratureStyle (visual arts)ArtHistoryPhilosophyTheology
DOInot available

Abstract

fetched live from OpenAlex

Raised in a Ladino-speaking family of Bulgarian Jewish immigrants, Pinhas- Cohen fuses the ancient Sephardic chant of her childhood with the contemporary rhythm of Israeli life. This singular talent for bridging the ancient and the modern sets her apart from most other Hebrew poets of her generation. Secular in style and spirit, yet rooted in the life cycle of religious Judaism, Pinhas- Cohen's poems portray everyday life in modern Israel through a sacred yet personal language. Awarded the coveted Prime Minister's Prize for her poetry, Pinhas-Cohen is a poet whose verse in English translation is long overdue. This bilingual collection offers readers a careful selection of poems from each of her seven published volumes. Hart-Green has worked closely with the poet herself on these translations, several of which have appeared in journals such as the Jewish Quarterly and the Toronto Journal of Jewish Thought . Her lively translations display the dazzling breadth and depth of Pinhas-Cohen's oeuvre, making Bridging the Divide not only the first but the definitive English-language edition of this vital Hebrew poet's work.

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)0.000
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.006
Threshold uncertainty score0.016

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0040.001

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 head0.057
GPT teacher head0.255
Teacher spread0.198 · 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
Published2015
Admission routes1
Has abstractyes

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