Bibliographic record
Abstract
About This Issue David J. Endres In recent years, especially since the discovery of unmarked graves at Catholic-run Indian boarding schools, scholars have given increased attention to the relationship of Native Americans to the Catholic Church. This topic was further highlighted by Pope Francis's July 2022 visit to Canada, where he apologized for the Church's role in the cultural destruction and forced assimilation of Native peoples. The research presented here explores the ways that these cultural and religious systems have interacted—though not always antagonistically. They offer diverse perspectives on how Native identities have intersected with Catholicism. We are grateful to our contributors. Emma Anderson is a professor of religious studies at the University of Ottawa. Michael F. Steltenkamp, S.J., is emeritus professor of anthropology and religious studies at Wheeling University (formerly Wheeling Jesuit University) in Wheeling, West Virginia. Bryan C. Rindfleisch is an associate professor of history at Marquette University in Milwaukee, Wisconsin. Martha G. Beliveau is a graduate student in the University of Oklahoma's department of history. Paul G. Monson is vice president for intellectual formation and academic dean at Sacred Heart Seminary and School of Theology, Hales Corners, Wisconsin. Dana Lloyd is assistant professor of global interdisciplinary studies at Villanova University in Villanova, Pennsylvania. [End Page i] Copyright © 2023 The Catholic University of America Press
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| Insufficient payload (model declined to judge) | 0.602 | 0.467 |
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".