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Record W6947470412 · doi:10.38140/at.v40i1.4466

FOUR CRITERIA FOR IDENTIFYING THE SOCIALLY MARGINAL IN THE SOCIAL CONTEXT OF EARLY CHRISTIANITY REFLECTED IN THE NEW TESTAMENT

2020· article· en· W6947470412 on OpenAlexaff

Bibliographic record

VenueActa Theologica · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsConcordia University of Edmonton
Fundersnot available
KeywordsEarly ChristianityHonourChristianityContext (archaeology)PoliticsPhenomenonNew TestamentPower (physics)

Abstract

fetched live from OpenAlex

The social dynamics of the world of early Christianity is characterised by the limit of upward mobility and social disparity between classes in terms of access to both material resources such as lands and funds and nonmaterial resources such as honour and political power. This phenomenon was endemic throughout the imperial Roman world, which was the immediate sociopolitical context of early Christianity. This article generally focuses on the province of Judea and its vicinities, as well as thefirst two centuries of the imperial Roman world as the mother womb context of early Christianity reflected in the New Testament. Social minority is not a statistical concept. The most naïve and flawed understanding of social minority has to do with the “quantity” of people. The chief benchmark identifying the social minorities in the world of early Christianity concerns the matter of the “quality” of communal life experience of a given group. This article provides the reader with four definingcategorical criteria for identifying the socially marginal in the world of early Christianity: minority markers and social visibility, power deficiency, ascribed minority attributes or stereotypes, and discrimination.

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)0.005
metaresearch head score (Gemma)0.016
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: Empirical
Teacher disagreement score0.007
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0050.002
Science and technology studies0.0060.028
Scholarly communication0.0050.004
Open science0.0020.009
Research integrity0.0010.002
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 head0.169
GPT teacher head0.346
Teacher spread0.178 · 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

Citations0
Published2020
Admission routes1
Has abstractyes

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