First Nations/Native Americans and Religion: Bibliographic Conversation and Recommendations
Bibliographic record
Abstract
A quick search using the subject “Indians of North America – Religion” in Bridwell Library’s catalog retrieved 130 results out of a collection of about 490,000 volumes. This suggests (a) The Library of Congress may want to consider revising some of its subject headings (but that is a topic for another time), (b) religious and spiritual practices among native North Americans/First Nations are not widely studied by our students. While there are certainly exceptions, likely this situation is not unique among theological libraries. This session represents an effort to rectify this by sharing and inviting colleagues to share recommendations of resources on spirituality and religious beliefs and practices of various native North American/First Nations groups and their relation to the faith traditions that are more broadly represented in our collections.
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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 | 0.030 | 0.063 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.030 | 0.065 |
| Science and technology studies | 0.014 | 0.005 |
| Scholarly communication | 0.030 | 0.025 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.046 | 0.010 |
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".