Reaping the Right Fruits: Luther's Meditation on the 'Earnest Mirror, Christ'
Bibliographic record
Abstract
Abstract: To meditate aright, for Luther, is not to arouse in us an emotive piety for the crucified, but to be acquainted with the knowledge of our sinnerhood, and be devastated by it. Thus there is no natural knowledge of sin. The knowledge of sin flows directly from Christ, whom he called ‘the earnest mirror’. This mirror causes sin to surface in our conscience so that it might cause it to disappear from it. This is made possible in Christ's atoning efficacy, where Christ, after exposing our sins, appears to us as our sin-bearer, the one who suffers our sins but suffers them into defeat in his cross and resurrection, if only we believe. The mirror then leads us beyond Christ's heart to the friendly heart of God, the one and same heart, which from eternity beats with such earnest love for us. Thus to grasp God aright, as the mirror reveals, is to grasp him not in his power and majesty, which might be terrifying, but in his opposites, that is, in his weakness and humility. God's way of being ‘most himself’ is by being for us (pro nobis), bearing and suffering the judgement of sin, and eventually dying on the cross. Then our faith and salvation stand immovably certain.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.008 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".