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Record W1846261154 · doi:10.1177/0008429815580774

Verbal Exuberance and Social Engineering

2015· article· en· W1846261154 on OpenAlexaffvenue
Justin Jaron Lewis

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsUniversity of Manitoba
FundersBar-Ilan University
KeywordsGossipJudaismReputationContext (archaeology)SociologySocial psychologyPsychologyHistoryPhilosophyTheologySocial science

Abstract

fetched live from OpenAlex

Ḥafetz Ḥayim, first published in 1873, is a renowned Jewish work on the sin of “evil speech.” It has the reputation of seeking to put a stop to derogatory gossip. Such an attempt would have been staggeringly difficult, especially since Yiddish-speaking Eastern European Jewish culture was known for its talkativeness, including negative gossip. In fact, however, Ḥafetz Ḥayim permits and even commands negative talk about certain categories of people. Based on the historical context, I argue that Ḥafetz Ḥayim seeks not to stop negative talk but to direct it against those who threaten nascent Orthodox Judaism. However, this goal does not appear to have been realized. Insight into this apparent failure can be gleaned from the social sciences and especially from Samuel Heilman’s Synagogue Life: derogatory gossip about one another actually connects people and strengthens their community. Thus, Ḥafetz Ḥayim’s attempt to turn such gossip into a weapon against outsiders was doomed to failure.

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 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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.352
Threshold uncertainty score0.693

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.175
GPT teacher head0.448
Teacher spread0.273 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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

Citations1
Published2015
Admission routes2
Has abstractyes

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