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Record W2316602103 · doi:10.2307/25095253

Covenant of Care: Newark Beth Israel and the Jewish Hospital in America. By Alan M. Kraut and Deborah A. Kraut. (New Brunswick: Rutgers University Press, 2007. x, 304 pp. $37.95, ISBN 978-0-8135-3910-2.)

2007· article· en· W2316602103 on OpenAlexaboutno aff
Allison L. Hepler

Bibliographic record

VenueJournal of American History · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicAmerican Constitutional Law and Politics
Canadian institutionsnot available
Fundersnot available
KeywordsJudaismHealth careHistoryBureaucracyImmigrationCovenantMetropolitan areaSociologyEconomic historyPolitical scienceLawPolitics

Abstract

fetched live from OpenAlex

Hospitals are complex entities. Examining the transformation of a northeastern urban Jewish hospital from its Progressive Era roots to its current incarnation as part of the St. Barnabas Health Care System, Alan M. Kraut and Deborah A. Kraut find constancy in the ability of Newark Beth Israel Hospital to adapt to new medical, economic, social, and demographic realities during the twentieth century. In the process, they argue, “the Beth” resisted being swallowed up by private for-profit health care systems and retained its Jewish identity and its urban location, while becoming a regional medical center in the metropolitan New York area. This institutional history (the Krauts were commissioned by the Jewish Historical Society of MetroWest) begins in the vibrant immigrant streets of Newark, New Jersey, where religious and charitable concerns formed a hospital for the neighborhood. Subsequently, Beth Israel survived many challenges: a variety of modernizing actions that threatened voluntary hospitals that were unaffiliated with a medical school; post-World War II bureaucratization; and suburban flight, mergers, the Diagnosis-Related Group (drg) system, and urban violence. Like many hospitals in the twentieth century, survival meant applying a rationalizing business model that emphasized efficiency, specialization, and even takeovers. That story is told through a straightforward narrative, albeit sometimes dizzying in its hospital jargon, and it will appeal to policy makers, who are invited to look at the past to inform future decisions about health care.

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.073
Threshold uncertainty score0.146

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.003
Scholarly communication0.0080.008
Open science0.0020.005
Research integrity0.0060.006
Insufficient payload (model declined to judge)0.0360.006

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 head0.005
GPT teacher head0.219
Teacher spread0.214 · 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
GenreReview

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
Published2007
Admission routes1
Has abstractyes

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Same venueJournal of American HistorySame topicAmerican Constitutional Law and PoliticsFrench-language works237,207