Teaching Foreign Oral Speech to Language University's Students on the Basis of Creolized Text
Bibliographic record
Abstract
In the context of globalization and international integration, the requirements for knowledge of a foreign language, as an essential component of the professional competence of a modern competitive specialist, have substantially changed. Thus, the purpose of language education in modern conditions is the formation of a secondary linguistic personality, capable of intercultural communication, owning a fluent, clear and logically constructed foreign language speech. This goal leads to the search for creative approaches to professionally oriented teaching of foreign languages, the effectiveness of which is associated with the creation of problematic situations that contribute to unlocking the creative potential of students. Solving problematic problems contributes to the development of critical thinking, creative activity, interest and motivation to learn a foreign language, analytical skills and spontaneous speech of students. In the conditions of information oversaturation in the modern world, creolized texts occupy has a significant place in the communicative space in professional life. It requires a representative of a modern society to have the ability to decode, interpret information. In this study, the authors consider the informational and linguodidactic potential of foreign-language creolized texts, which can be used as the basis for the development of unprepared speech and discussion skills of students in the framework of organizing a creative educational process. Finally, the authors propose a pedagogical algorithm for the formation of communicative skills of students in the context of the development of spontaneous speech based on creolized texts.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".