Language Personality in the Conditions of Cross-Cultural Communication: Case-Study Experience
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
The article is devoted to the problem of identification of a language personality’s traits under conditions of cross-cultural communication. It is shown that effective cross-cultural communication is revised under globalization and increasingly intensive social interactions. The results of the authors’ research prove that it is possible to develop a new perspective on the heuristic possibilities of the concept of language personality to ensure the effectiveness of cross-cultural communications.This applies above all to the understanding of culture, cultural codes, verbal, non-verbal communication and preverbal, development of value measurement and understanding, and behavior adoption patterns. We propose to identify a language personality as a nationally specific communicant type that has a culturally caused worldview and value system and is capable of cross-cultural transformation. We identified transitions from a “mono” language personality to a “multi” language personality. We offer communicative training as a way of resolving cultural gaps in communication.We insist that only a new type of a language personality can effectively integrate and communicate while taking into account cultural peculiarities. Language personality currently acquires multicultural traits resulting from two main types of mobility: virtual and physical. Empirical research shows that two types of mobility are widespread, with typical high demands for the study of an international communication language (English) and local culture (Hebrew).
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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 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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