Moshe Ulmer, Z"L, Philosophical, Ethical, and Spiritual Dimensions of Judaism
Bibliographic record
Abstract
CHAPTER 1: Luzzato and Bahya .CHAPTER 2: Moral Objectivity CHAPTER 3: Fackenheim and Samuelson .CHAPTER 4: Elliot N. Dorff .CHAPTER 5: Aron Lichtenstein .CHAPTER 6: Conservative and Reform Judaism .CHAPTER 7: Jewish Ethics .CHAPTER 8: Theological Implications of the Holocaust: Emil Fackenheim and Elie Wiesel .CHAPTER 9: Personal Views on Judaism and Jewish Practice: God, The Existence of Evil, Revelation, and The Chosen People .CHAPTER 10: Why Jews Give .CHAPTER 11: The Book of Ruth .CHAPTER 12: Rabbi Adin Steinsaltz (A Sermon) .CHAPTER 13: Bamidbar - In the Wilderness (A Sermon) . CHAPTER 14: VaYechi – And he lived (A Sermon) .CHAPTER 15: The End of the World and A New Beginning (A Rosh Ha-Shanah Sermon) .CHAPTER 16: Vignette – A Poem . book cover, back: "Rabbi Moshe Ulmer, J.D., D.Div. h.c. (1945-2021) was born in Los Angeles, the son of Hungarian immigrants. He earned a BA in history, graduated from UCLA Law School, and was a member of the bar of New York, Massachusetts, and California. Initially working in New York representing indigents under the VISTA program, he eventually opened his own practice in Newport Beach, CA. Encouraged by Elie Wiesel to become a rabbi, Ulmer obtained ordination and served congregations in Newton Center, Mass., Buffalo, NY, Vancouver, BC, and Palm Springs, CA. He wrote a book on tsedakah and taught at the Bucknell Institute of Lifelong Learning in Lewisburg, PA."
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.002 |
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".