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Record W2145971624 · doi:10.1017/s0017816004000719

An Exploration of Valentinian Paraenesis: Rethinking Gnostic Ethics in the <i>Interpretation of Knowledge</i> (NHC XI,1)

2004· article· en· W2145971624 on OpenAlexaff
Philip L. Tite

Bibliographic record

VenueHarvard Theological Review · 2004
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical, Religious, and Philosophical Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsInterpretation (philosophy)PhilosophyEpistemologyGeologyLinguistics

Abstract

fetched live from OpenAlex

Over the past twenty-five years, the social and ethical aspects of Gnosticism have won increased attention. Scholars have tended to shift away from phenomenological approaches to Gnosticism, which maintained a strict demarcation between ethics and cosmological speculation. Rather, scholars have increasingly recognized and explored social ethics within the various “Gnosticisms” that flourished in the second to fourth centuries, focusing on particular topics such as sexual ethics, gender roles, and the soteriological implications of sinful or virtuous behavior. Little attention, however, has been devoted to the question of how ancient rhetorical conventions shaped Gnostic ethical and moral discourse, especially as it is evidenced in the Nag Hammadi sources. The application of rhetorical criticism to other early Christian literature has demonstrated that the proper identification of the genre of a text is a crucial step toward determining how that text was designed to rhetorically influence its audience. Thus, an appreciation of the generic conventions that dictate certain features of a text can improve our understanding of the social context in which that text was produced. In this essay, I examine one text from Nag Hammadi, the Interpretation of Knowledge (NHC XI,1; henceforth Interp. Know .), whose genre has not, in my opinion, been satisfactorily established. I will argue that the text should be read as a sustained work of paraenesis—that is, as a moral exhortation with a persuasive intent. On the basis of that identification, I will attempt to reconstruct some features of the social context in which it was produced.

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)0.004
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0100.042
Scholarly communication0.0090.007
Open science0.0010.005
Research integrity0.0030.006
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 head0.161
GPT teacher head0.335
Teacher spread0.175 · 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 designTheoretical or conceptual
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

Citations9
Published2004
Admission routes1
Has abstractyes

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