The Kinship Structure of the Bai Nationality Tribe in Yuanjiang county, YunNan Province in China
Bibliographic record
Abstract
The kinship system is a very important part in the study of anthropology, especially in China, the kinship relationship plays an important part in people’s social relationship, and becomes the core of Chinese interpersonal relationship. Therefore, it has a profound influence on social relationship and political system in China. So, to deepen the study of Chinese kinship system is crucial to the study and understanding of the development of China’s society, politics and economy. Bai nationality is one that deeply affected by Han culture, to see into its kinship system is profitable to the understanding of association and inter-mingling between Han and other ethnic groups. This book is an on-the spot description about the village life of Bai nationality living in Yuxi, YunNan province. It mainly discusses the origin, distribution, family structure and family tree of Bai nationality and its development today. Key words: YunNan province,Bai nationality,widely- spread family name system,etiquette tradition,patriarchal system, appellation Resume Le systeme parental fait partie importante de la recherche esthetique. Surtout en Chine, les relations parentales jouent un role tres important dans les relations sociales humaines et sont devenues le noyau dans le contact humain. Cette position du noyau apporte des influences tres grandes aux relations sociales chinoises et le syteme politique. Cependant, renforcer la recherche du systeme parental de la Chine est tres important pour rechercher et connaitre le developpement social, economique et politique de la Chine. L’ethnie Bai est une ethnie tres influencee par la culture de Han. Connaitre son systeme parental est aussi favorable a connaitre les contacts et les echanges entre Han et l’ethnie Bai. Cette these fait une bonne description surplace de la vie d’un village de l‘ethnie Bai – un des groupes minoritaires de la region Yuxi de la province de Yunnan en Chine. Elle fait surtout une recherche sur son origine, sa repartition, ses organisations parentales, ses clans ainsi que son developpement d’aujourd’hui. Mots-cles: Yunnan,l’ethnie Bai,le systeme d’un grand nom de famille,le systeme de mariage,les coutumes,le regime patriarcal,l’appelation 摘 要 親屬制度是人類學中研究的一個重點。尤其在中國，親屬關係在人們的社會關係中佔據了極為重要的地位，成為中國的人際交往的核心。由於親屬關係在中國人的社會交往中佔據的這種核心地位，從而對中國的社會關係以及政治制度都產生了極為深遠的影響。因此，加強對中國的親屬制度的研究，對於研究和理解中國的社會以及政治、經濟的發展都是極為重要的。白族是一個受到漢文化強烈影響的民族，瞭解它的親屬制度，對於理解漢族和各民族之間的交往與融合也是非常有益的。本書是對生活在中國雲南省玉溪地區的一個少數民族—白族--村落生活的實地描寫。主要探討了這一地區白族的來源、分佈、家族組織、宗族譜系以及在今天的發展。 關鍵詞：雲南；白族；大姓制度；婚姻制度；禮俗；宗法制度；稱謂
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".