The Main Trends of Linguoecological Research
Bibliographic record
Abstract
The article shows linguoecology as a new integrated area of Linguistic research. Priority areas, significance, and form of linguoecological research have been defined. Linguoecology has been described as a new model of research in modern-world linguistics and the article provides an overview of the main directions of development. Linguoecology has been considered a tool for creating a harmonious human environment and social interaction with its specific features. In addition, the article analyzes the differences between the terms “Linguistic ecology” and, “Ecolinguistics” which are used in recent studies. The multifaceted nature of linguoecological research requires the identification and separate consideration of areas of linguoecology, and the problem of classification of linguoecology arises. The article focuses on the newly formed interdisciplinary areas of ethics, emotion, and comparative linguoecology. Philosophical, orthological, cultural, social, and pedagogical directions of linguoecology are analyzed and research in this field is considered.
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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.011 |
| Science and technology studies | 0.004 | 0.014 |
| Scholarly communication | 0.012 | 0.012 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.003 |
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".