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Record W1965147754 · doi:10.1163/15700631-12340057

Let Them Eat Fish: Food for the Poor in Early Rabbinic Judaism

2014· article· en· W1965147754 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal for the Study of Judaism · 2014
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsJudaismScholarshipPovertyFoodwaysChristianityJewish studiesSociologyAntiqueJewish identityHistoryReligious studiesAnthropologyLawPhilosophyPolitical scienceAncient historyArchaeology

Abstract

fetched live from OpenAlex

Abstract Recent scholarship has shown how investigations into food and poverty contribute to our understanding of late-antique Judaism and Christianity. These areas of inquiry overlap in the study of charity, as providing food was the preeminent way to support the poor. What foods and foodways do the earliest texts of rabbinic Judaism prescribe for the poor? This article examines Tannaitic discussions of the foods that should be given as charity, reading these texts within their literary and historical contexts. I find that they prescribe a two-tiered system whereby foods for the week aim to meet the poor’s biological needs, while those for the Sabbath fulfill religious requirements. These rabbinic instructions, however, also reinforce social separation and deepen the poor’s sense of exclusion. This article contributes to scholarship on poverty and charity in late antiquity, the use of food in the construction of rabbinic identity, and the tensions that arise from establishing material requirements for religious observances.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.795
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.078
GPT teacher head0.265
Teacher spread0.186 · 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