Bibliographic record
Abstract
This chapter recounts the tumultuous events during the height of the Vietnam War, when FBI agents conducted a sweeping search at St. Gregory the Great Roman Catholic Church. It details how Father Phil Berrigan and anti-war activist David Eberhardt evaded arrest after the failed appeals of the “Catonsville Nine” and sought refuge in the rectory under Father Harry Browne's protection. It also mentions how Browne's sanctuary, known for its hidden spaces and protective environment, became a haven for draft dodgers and activists escaping to Canada. Despite Browne's defiant stand against unwarranted intrusion, FBI agents discovered Berrigan and Eberhardt, arresting them amid a community uproar that echoed Browne's impassioned sermon against injustice and war. The chapter highlights Paul O'Dwyer's subsequent involvement in defending Berrigan and his cohorts, which underscored his commitment to legal integrity amidst a backdrop of political turmoil and dissent.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.132 | 0.053 |
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".