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Record W2003000157 · doi:10.1177/000842980703600107

The moral world of Greco-Roman associations

2007· article· en· W2003000157 on OpenAlexvenueno aff
Alicia J. Batten

Bibliographic record

VenueStudies in Religion/Sciences Religieuses · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicReligion and Society Interactions
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)Moral characterDemocratizationCharacter (mathematics)SociologySocial psychologyPsychologyLawPolitical scienceEnvironmental ethicsEpistemologyPhilosophyDemocracyPolitics

Abstract

fetched live from OpenAlex

This article examines the language and regulations of Greco-Roman associations with a focus upon their moral worlds. Many of the virtues ascribed to the benefactors of and participants in these associations are based more upon their financial and administrative contributions than personal character, but sometimes such virtues are applied to people who do not provide financial assistance, suggesting a democratization of Greek values. Although the evidence indicates that generally ancient associations did not require a moral transformation of their members, nor did they stress moral guidelines beyond activity in the association (for which they were criticized by others), the strictly enforced regulations for life in the association upheld important codes that were connected to broader societal values. Evidence from the associations is thus another important component for the examination of the background and tensions among religions of antiquity.

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)0.007
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.032
Scholarly communication0.0070.003
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.135
GPT teacher head0.472
Teacher spread0.337 · 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 designQualitative
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

Citations2
Published2007
Admission routes1
Has abstractyes

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