EDUCATION IN SEARCH OF TRUTH GOOD BEAUTY - DICUSSING TRUTH GOOD BEAUTY AS SELF-CULTIVATION IN CONFUCIUS’ PHILOSOPHY OF EDUCATION & ITS ENLIGHTENMENT IN EARLY CHILDHOOD EDUCATION
Bibliographic record
Abstract
The Confucian primary educational aim centres on the concept of ren (benevolent), which is to cultivate the person of ren or exemplary person (human quality of truth, good, and beauty); Its curriculum consists of teaching the Six Arts including li or rites (good), yue or music (beauty), she or archery (truth), yu or charioteering (truth), shu or reading (truth), and * shu or mathematics (truth). The Confucian pedagogy focuses on three major instructions such as connecting knowing and acting, teaching students according to their aptitude, and skillful directing. This study, from the perspective of truth, good and beauty as self-cultivation, analyzes Confucius’ educational aim of cultivating the whole development of self. Current issues in early childhood education are introduced. The enlightenment of Confucius’ education is discussed to shed lights on the significance of the current educational studies.
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 | 0.003 | 0.002 |
| 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 | 0.023 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".