The problem of peers in Vietnamese interaction
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
In V ietnamese, address (second‐person reference) is typically accomplished by the use of a kin term regardless of whether the talk's recipient is a genealogical relative or not. All Vietnamese kin terms encode a specification of either relative age or relative generation of participants, and there are no reciprocal terms akin to E nglish ‘brother’ or ‘sister’; rather, a speaker must select between terms such as ‘older brother’ ( anh ) or ‘younger sibling’ ( em ). Since generation is normatively associated with a difference in age, the result is a ubiquitous indexing of age and status hierarchies in all acts of address. This results in a problem for peers. How, in such a system, should they address one another (and also self‐refer)? In this article, we describe the various practices that speakers use to subvert the system and thus avoid indexing differences of age or station. Specifically, we describe four practices: (1) the use of true pronouns in address and self‐reference; (2) the use of proper names in address and self‐reference; (3) the use of kin terms in address and pronouns in self‐reference; and (4) the ironic use of kin terms in address. We conclude that the Vietnamese system well illustrates what is likely a universal tension between hierarchy and equality in acts of address and self‐reference, by showing how speakers deconstruct the vector of age and indicate that they consider one another peers. We further suggest that although the literature in this area has focused on the ways in which languages convey differences of status and rank, social order is built as much upon relations of parity and sameness – on identification of the other as neither higher nor lower than me – as it is upon relations of hierarchy.
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.
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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it