The Benefits Outweigh the Costs: Divine Benefaction and Human Obedience in 2Cor 6,1–7,2
Bibliographic record
Abstract
Abstract When 2Cor 6,1–13 and 7,2 are viewed primarily as self-defence intended to facilitate reconciliation, it is likely that 6,14–7,1 will be handled as a digression or an interpolation. But when 6,1–13 and 7,2 are read as part of an appeal for obedience directed at reluctant readers, the appearance of purity exhortations in 6,14–7,1 becomes predictable given everything we know about the Corinthians. Leveraging a careful re-reading of 6,12–14, the present essay argues that 6,14–7,1 should be viewed as central to this section of 2 Corinthians, and Paul’s defensiveness in the surrounding text should be interpreted first and foremost in relation to objections to his purity policies.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".