Sociolinguistic Study on the Address Term "Meinü" in Present-Day China/ETUDE PRAGMATIQUE DU MOT D'APPELLATION CHINOIS « BELLE »
Bibliographic record
Abstract
Nowadays, “meinu” (‘beautiful ladies’) has become a popular address term to females in China. It is no longer a privilege term used to refer to beautiful young ladies, but a pan-honorific term for the females. Based on a combination of quantitative and qualitative approaches, this study examines the usage of address term “meinu” across four cities by analyzing their sociolinguistic functions in communication. The information about the addresser and the addressee, such as age and gender, as well as information about the relationship between the interlocutors, such as degree of intimacy, or level of solidarity are also studied. Key words: address term, meinu, sociolinguistic function Resume: De nos jours, le mot « belle », appellation des femmes, est tres populaire en Chine. Le mot « belle », n’etant plus reserve aux femmes jeunes et jolies, devient une appellation polie pour toutes les femmes. Le present article, en combinant la methode quantitative et la methode qualitative de recherche, examine profondement l’utilisation de ce mot dans 4 villes chinoises et sa fonction pragmatique dans la communication. L’auteur etudie aussi des informations sur le locuteur et l’interlocuteur, telles que le sexe, l’âge, leur relation, etc. Mots-Cles: mot d’appellation, belle, fonction pragmatique
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.002 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 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".