Bibliographic record
Abstract
Abstract This essay identifies and examines the function of the language in the Letter to the Colossians that Sociorhetorical Interpretation calls “precreation rhetorolect.” This rhetorolect is a mode of discourse that indicates, counterintuitively, realities behind and prior to what is present. Consequently, it starts before the beginning by describing the protological existence and activity of God and his son. In Colossians this rhetorolect occurs in 1:15–18a, 1:19 and 2:9. Precreation language in these passages describes the protological intelligence and activity that leads to what is right and real in the present. It is employed to persuade audiences to maintain their focus on Christ, the correct person. No other supposed divine or eminent powers, whether cosmic or human, have the precreational existence, the preeminent position, or the divine power to do what the son/Christ does in rescuing, reconciling, and providing a foundation for people. The rhetorolect draws on aspects of its intertextural environment of ideas to convey meaning that shapes its audiences. The rhetorical power of the discourse is found not only in what the texts say, but in how they say it and in what they do to their audiences. This study of the precreation language in Colossians describes how the discourse is employed to make a case, an argument. The precreation language aims at a wisdom conclusion, that is, at correct, mature belief and behaviour.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.046 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".