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Record W7017084579

With All Due Modesty: The Selected Letters of Fanny Goldstein

2018· other· en· W7017084579 on OpenAlexaboutno aff

Bibliographic record

VenueOpenBU (Boston University) · 2018
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismNewspaperMainstreamJewish identityQuarter (Canadian coin)Section (typography)
DOInot available

Abstract

fetched live from OpenAlex

With All Due Modesty: The Selected Letters of Fanny Goldstein is an annotated edition of the correspondence of Fanny Goldstein (1895–1961), librarian, social activist, and founder of Jewish Book Week. Goldstein’s accomplishments include building a significant collection of Judaica for the Boston Public Library; compiling some of the earliest bibliographies of Jewish literature in English; evaluating manuscripts for publishers; writing book reviews; and lecturing and writing on a wide range of subjects related to Jews and Judaism. The purpose of the edition is to provide a picture of Goldstein’s life as a Jew, a woman, a librarian, and a social activist and in so doing, to contribute to a more complete understanding of Boston’s Jewish community in the first half of the twentieth century. I have included in the edition both incoming and outgoing letters with a wide range of correspondents, including Charles Angoff, Mary Antin, Isaac Asimov, Alice Stone Blackwell, Felix Frankfurter, Molly Picon, Ellery Sedgwick, and Friderike Zweig. The letters span the years from 1930 to 1960. The edition includes extensive annotation based on Goldstein’s newspaper and magazine articles, pamphlets, book reviews, and other writings; hundreds of Goldstein’s letters not published here; accounts published in the Jewish press and the mainstream press; and correspondence neither written nor received by Goldstein but bearing on her life and 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)0.002
metaresearch head score (Gemma)0.008
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: none
Teacher disagreement score0.037
Threshold uncertainty score0.125

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.003
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0370.019

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 head0.010
GPT teacher head0.185
Teacher spread0.176 · 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
Published2018
Admission routes1
Has abstractyes

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