Bibliographic record
Abstract
Hakka is the special and noteworthy community in China. And Hakka proverbs are important and refined in Hakka dialect. The author studies Hakka proverbs to approach the culture and characteristic of Hakka identity. There are many life intellectual properties in Hakka proverbs of the 24 solar terms. The 24 solar terms is a gross name of the system, and it is important for farmers and Hakkas follow the solar terms to farm and produce the intelligent proverbs. Key words: Hakka; culture; proverb; the 24 solar terms Resume: Hakka est une communaute speciale et remarquable de la Chine. Et les proverbes sont importants et raffines dans le dialecte de Hakka. L’idee de l'auteur est d’etudier les proverbes de Hakka pour aborder la culture et les caracteristiques de l'identite de Hakka. Il existe de nombreuses proprietes intellectuelles dans les proverbes de Hakka sur les 24 les 24 periodes de l'annee solaire. Les 24 periodes de l'annee solaire est un nom en general du systeme, et il est important pour les agriculteurs et les Hakkas de suivre les termes de l'energie solaire pour cultiver et ainsi sont nes de proverbes intelligents. Mots-cles: Hakka, culture, proverbe, les 24 periodes de l'annee solaire 摘 要：“客家”一直是漢族大家庭中色彩鮮明、特立獨行的族群。歷史上的遷徙和偏僻山地的環境，客家人以其 獨特的生存方式與頑強的生命力，創造了自己獨特的文化傳統和社會區域，並保留了中原母語。研究客家諺語是 客家方言和客家文化研究中不可缺少的一環。透過大量的客家諺語，我們可以探索其深層的文化底蘊。而長期以 來客家人主要以“務農”為生，所以二十四節氣的言語可以體現客家人的生活智慧，瞭解客家文化內涵。 關鍵詞：客家；文化；諺語；二十四節氣
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 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".