Bibliographic record
Abstract
Bending Toward Justicetells the story of the rampant closings of Catholic parishes across the United States and documents the courageous advocacy of Sr. Kate Kuenstler and hundreds—indeed thousands—of ordinary Catholics whose persistence charted a new course in canon law. Sr. Kuenstler's expertise eventually gave increased leverage to the laity—and their parishes—in the struggle to preserve their parish homes, especially in ethnically diverse and poor neighborhoods. In 2012, after what Catholic pundit Rocco Palmo described as “the most ferocious and bitter parish planning face-off the Stateside church has seen in the last quarter century,” Rome ordered Cleveland’s Bishop Richard Lennon to re-establish 12 parishes he had wrongly closed and reopen their churches. It was an unprecedented victory. For the first time, Rome ordered a bishop to restore a large number of suppressed parishes as well as reopen their churches. The Vatican powerfully upheld the rights of Catholics in those parishes to have an appropriate voice in determining the future. This book offers an inside view into the wholesale closing of too many vibrant Catholic parishes in too many neighborhoods.
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 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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.039 | 0.013 |
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".