The role of Euphemisms in Nzema Language and Culture
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
This paper examines the role of euphemisms in the context of Nzema. It however discusses the Nzema examples alongside Akan, a sister language. Euphemisms can be linked to bone marrow in the sense that they are inseparable from language just as marrow is with bone. That is to say, it is highly impossible for bones not to have marrow as they are already embedded or built into the bones for varying purposes. Inasmuch as a body without breath is lifeless, a language that has no euphemistic expressions can also be said to be inadequate with respect to its functional and stylistic aspects. We use language to communicate and euphemism is a proper language style that people pursue in social communication in order to reach an ideal communication effect. Euphemisms are used in place of some sensitive, unpleasant, disturbing and taboo topics. The Nzema data indicate that in this language (Nzema), these expressions (euphemisms) can be dichotomised into two categories based on the communicative function they hold. In the first place, euphemisms are motivated by issues relating to taboos and are mainly used to avoid affronting both speaker’s and the hearer’s face. Secondly, they function as a stylistic marker so that their use is not as a response to taboo topics, rather, are subtle means of expressing one’s thought which fit in the context of use.
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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it