Communicative Taboos in Modern Business Etiquette
Bibliographic record
Abstract
The article examines the features of communicative taboos in business etiquette. The taboo system has protected core values for centuries and has been an unwritten social code. Taboo reflects the foundations of morality, spiritual culture, features of thinking and worldview of individuals and ethnocultural communities. The spheres and nature of taboos are a reflection of the times and cultures of the people and are clearly manifested in the process of intercultural communication. Violation of the most severe taboos can lead to termination of contact. The study found that in the process of intercultural communication, given the similarity of most taboo topics, the degree of categoricalness of their use is different, or the circumstances under which certain topics can be raised are different. In order to comply with the verbal rules of business etiquette valid in one's own or in other cultures and ethnic groups and at the same time ideologically express the necessary meaning, promoting friendly intercultural communication, it is necessary to use a number of ways not to break taboos related to language units. etc. In the case of nonverbal taboos, mutual misunderstanding and non-perception in the process of nonverbal communication usually occurs because a somatic object is used to nonverbally express a certain meaning or perform a certain movement, which cannot be used from the point of view of another culture.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.011 | 0.019 |
| Scholarly communication | 0.008 | 0.005 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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 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".