Bibliographic record
Abstract
Abstract: This paper details the concrete manifestation of current fever phenomenon in China; explores the underlying causes of its formation from social roots, understanding roots, psychological roots and religious secularization the four aspects; proposes to make a rational response to religious revival, implement the basic principle of the party's religious work, develop science and education, have people form scientific world outlook, while strengthening the socialist spiritual civilization. Key words: Religious fever; Performance; Reason; Response Resume: Cet article expose la manifestation du phenomene courant de fievre religieuse en Chine; explore les causes sous-jacentes de sa constitution a partir des quatre aspects: les racines sociales, les racines de comprehension, les racines psychologiques et la secularisation religieuse; propose d'apporter une reponse rationnelle a un redressement religieux, met en œuvre le principe elementaire du travail religieux du parti, developpe la science et l'education, aide les gens a former une vision du monde scientifique, tout en renforcant la civilisation spirituelle socialiste. Mots cles: Fievre religieuse; Performance; Raison; Reponse
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 | 0.001 |
| 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 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".