Bibliographic record
Abstract
Abstract Although there are over 200 million Orthodox Christians worldwide, 4 million of whom live in the United States, their history, beliefs, and practices are unfamiliar to most Americans. This book outlines the evolution of Orthodox Christian dogma, which emerged for the first time in 33 A.D., before shifting its focus to American Orthodoxy--a tradition that traces its origins back to the first Greek and Russian immigrants in the 1700s. The narrative follows the momentous events and notable individuals in the history of the Orthodox dioceses in the U.S., including Archbishop Iakovos' march for civil rights alongside Rev. Martin Luther King, Jr., the Orthodox missionaries' active opposition to the mistreatment of native Inuit in Alaska, the quest for Orthodox unity in America, the massive influx of converts since the 1960s, and the often strained relationship between American Orthodox groups and the mother churches on the other side of the Atlantic. Erickson explains the huge impact Orthodox Christianity has had on the history of immigration, and how the religion has changed as a result of the American experience. Lively, engaging, and thoroughly researched, the book unveils an insightful portrait of an ancient faith in a new world.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".