Strategies and types of social and psychological adaptation of international students studying in London
Bibliographic record
Abstract
Results of the research on adaptation of foreign students of the technical and humanitarian directions of training studying in London in the number of 32 people are presented. The strategies of adaptive behaviour of foreign students are defined: positive (types of adaptability, interactivity), conformal (conformal and aloof types) and negative (depressive and nostalgic types of adaptation) – and interrelations of the revealed strategies with life sense, values and personal traits. The positive strategy, including adaptive and interactive types of adaptation, is characterized by 35 interrelations of these types of adaptation with personal and valuable-sense scales that demonstrates the comprehension of their life and orientation at self-actualization values. The nostalgic and depressive types defining the negative strategy of adaptation (37.5 per cent) don not promote socialization, self-actualization and effective social and psychological adaptation of foreign students. The nostalgic type of adaptation has 16 interrelations with research variables, and 13 of them are negative – with Personal traits, 1 positive – with Personal traits (neuroticism) and 2 negative – with Self-actualization and Values (prestige). It is defined that only the foreign students accepting the negative strategy of adaptation have an emotional unbalance and emotional discomfort.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".