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Record W4386512063 · doi:10.1515/9781772120141

small things left behind

2014· book· en· W4386512063 on OpenAlexaboutno aff
Ella Zeltserman

Bibliographic record

VenueUniversity of Alberta Press eBooks · 2014
Typebook
Languageen
FieldArts and Humanities
TopicAmerican Jewish Fiction Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsLeft behindComputer sciencePsychology

Abstract

fetched live from OpenAlex

"Freedom is something my father has never known. How do I explain freedom to the ones born bent?" -from "Not Scared" Ella Zeltserman's poetry cuts both ways. The story of her flight from the USSR in 1979-of the young family she brought to Edmonton and the older one she left behind-does "explain freedom to the ones born bent," but it also explains oppression to the ones born free. Deftly modulating language, imagery, and events of past and present, comfort and tyranny, atrocity and family, home and war, Leningrad and Edmonton, she touches readers emotionally, drawing them into the journey. This authentic account of Russian-Jewish immigration to Canada during the Cold War will speak to all who have left their country or who moved far away from home.

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: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.043
Threshold uncertainty score0.114

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0100.010
Scholarly communication0.0050.004
Open science0.0000.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0340.008

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 head0.026
GPT teacher head0.166
Teacher spread0.140 · 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
Published2014
Admission routes1
Has abstractyes

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Same venueUniversity of Alberta Press eBooksSame topicAmerican Jewish Fiction AnalysisFrench-language works237,207