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Record W2560423720 · doi:10.1111/teth.12332

Reading between the Strata: Teaching Rabbinic Literature with Material Culture

2016· article· en· W2560423720 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

VenueTeaching Theology & Religion · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicHistorical and Linguistic Studies
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsTalmudMidrashScholarshipReading (process)JudaismHebrewJewish literatureSociologyTeaching methodJewish cultureHebrew BibleLiteratureJewish studiesBiblical studiesPedagogyHistoryArtPhilosophyLinguisticsArchaeologyLawPolitical science

Abstract

fetched live from OpenAlex

Abstract This article argues that attention to material culture can enhance teaching classical rabbinic literature (Talmud, Midrash, and related Jewish texts from the first seven centuries C.E.) at universities. Following an examination of broader scholarship on teaching and learning on using visuals, this article explores four ways in which material culture can help instructors teach rabbinics to students without background in Jewish studies or the relevant languages (Hebrew, Aramaic). It builds upon teaching other areas of biblical and religious studies (Hebrew Bible, New Testament, and teaching rabbinics at liberal seminaries), research methods, and broader scholarship on using visuals and material culture for pedagogical purposes. Contributing to these fields, this article addresses a lacuna in research on teaching rabbinic literature at secular institutions of higher learning and models ways to bring material culture into religious studies classrooms.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.871
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.290
Teacher spread0.277 · 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