LEADING ACROSS CULTURES: THE INFLUENCE OF CULTURAL INTELLIGENCE ON CROSS CULTURAL ADJUSTMENT OF INDIAN EXPATRIATES LIVING IN CANADA
Bibliographic record
Abstract
This research investigates the impact of cultural intelligence (CQ) on the expatriate adjustment or cross cultural adjustment (CCA) of Indian Expatriates working in Canada. A questionnaire survey was conducted among 95 Indians working in Canada. The findings of the study confirmed a positive and significant influence of CQ and its dimensions on cross- cultural adjustment dimensions. Motivational CQ, specifically, was the strongest predictive variables for all the three dimensions of CCA. Therefore, expatriates scoring high on motivation tended to adjust easily and fairly better on all the aspects of life in Canada whether general living conditions, or interaction with people at workplace or outside. Also, the expatriates having higher meta- cognitive CQ had higher level of interaction adjustment. The results of the study provides a strong empirical base for the organizations which are seeing forward for the global mobility of Indian expatriates, which is further helpful in contributing towards the successful expatriation of Indians
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".