The UNM Clerical Abuse Archive: An Introduction
Bibliographic record
Abstract
This event took place on September 25 at 4 p.m. in the Frank Waters Room located in Zimmerman Library. The Center for Southwest Research has recently released an archive dedicated to the history of child abuse within the Roman Catholic Church. In this video Panelist specialists talk about their involvement with the creation of this archive and what it means for the future of holding abusers within the Roman Catholic Church accountable for their behavior. Panelists include Patrick J Wall, Katie Holscher, Terry McKiernan and Levi Monagle Sponsored by: University Libraries Center for Southwest Research and Special Collections UNM Endowed Chair of Roman Catholic Studies The Envision Lab Social Sciences and Humanities Research Council of Canada UNM is the first university in the nation to hold an “abuse archive”: a collection of materials that document Catholic clerical sexual abuse. Learn about this archive from a panel of experts, as they discuss its origins, scope, and significance for both researchers and the public. The Archdiocese of Santa Fe Institutional Abuse Collection is part of University Libraries’ Center for Southwest Research and Special Collections. PANELISTS Kathleen Holscher holds the endowed chair in Roman Catholic Studies at UNM and is a historian who researches and writes about clerical sexual abuse. Terry McKiernan is the founder and president of BishopAccountability.org, the world’s first and largest public library of information on the Catholic clergy abuse crisis. Levi Monagle is a partner at the law firm Hall Monagle & Wallace and represents survivors of clerical sexual abuse in New Mexico. He was instrumental in the creation of the UNM archive. Patrick J. Wall is a former Catholic priest and Benedictine monk. Today he works as a survivor advocate and is a world-renowned expert on the Catholic clergy abuse crisis.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.008 | 0.001 |
| Scholarly communication | 0.014 | 0.012 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.154 | 0.072 |
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".