Bibliographic record
Abstract
The United States is one of the nations with most fantastic religious background, and in reality religion and religious education permeates all aspects of American life. Religion lies in American family education, school education, political activities and social life, playing a role that can not be ignored. An important inspiration can be drawn from the study of religious education of the United States to the ideological education in China. Key words : Religion; Religious Education; The United States; Inspiration Resume: Les Etats-Unis est l'une des nations qui ont des fonds religieux les plus fantastique, et en realite, la religion et l'enseignement religieux impregnent dans tous les aspects de la vie americaine. La religion reside dans l'education familale americaine, l'enseignement scolaire, les activites politiques et la vie sociale, en jouant un role qui ne peut pas etre ignore. Une source d'inspiration importante peut etre tiree de l'etude sur l'education religieuse des Etats-Unis a l'education ideologique en Chine. Mots-cles: Religion; EDucation Religieuse; Etats-Unis; Inspiration
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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".