<i>Faith Facing Reality: Stirring Up Discussion with Bonhoeffer</i> by John W.deGruchy (Eugene, OR: Cascade Books, 2022), x + 177 pp.
Bibliographic record
Abstract
of.But I am left with a sense of a pared down view of forgiveness from the bookforgiveness that leads to a lifetime of mourning with apparently no room for release, restoration, and renewal.True, we live with the fact of what Arendt called 'the predicament of irreversibility', but this does not mean there can be nothing more than mourning after being wronged.Some people find release, renewal, restoration, and inner healing when those who have wronged them engage with them in a framework of remorse, regret, repentance, and restitution.It's a case of building a new future out of and around the debris of the past.It would be interesting to ask St Peter, if we could, what forgiveness meant to him after he had denied Jesus three times.He wept bitterly, but did he not also later find release, inner healing, and renewal?
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.009 |
| Scholarly communication | 0.008 | 0.013 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.007 | 0.011 |
| Insufficient payload (model declined to judge) | 0.014 | 0.004 |
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".