Intercultural leadership skills: Canada-China agri-food experiences
Bibliographic record
Abstract
This thesis is an investigation into the leadership competencies and behaviours necessary for effective intercultural ventures in the Canada-China agri-food industry. A modified grounded research approach was used which included a literature review on leadership and intercultural theories and open coding. The data was collected by semi-structured interviews, a case study analysis and participant observation methods. Findings confirmed a list of general intercultural leadership competencies and behaviours and specific skills needed for Canada-China agri-food ventures, such as, relationship building skills, intercultural communication, adaptation and innovation, and understanding cultural dimensions. A gender audit revealed that women are under-represented in leadership positions in the Canada-China agri-food sector. Implications for capacity development in leaders and international trade and development are outlined. With the emphasis today on the global marketplace and community diversity, this study provides a solid foundation in intercultural leadership theory and practice, and opens the door for additional research opportunities.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".