MANAGING CONSTRUCTION PROJECTS IN A MULTICULTURAL SOCIETY: PERSPECTIVE OF FILIPINO CANADIAN ENGINEERS
Bibliographic record
Abstract
This research study was intended to examine the effect of national culture and leadership styles of Filipino- Canadian Engineers based on Hofstede’s cultural dimensions. The purpose of this academic research is to find a leadership program that will bridge the gap of underrepresentation among the Filipino Canadian Engineers and Project Managers in Canada. The respondents of this research study are the internationally trained Filipino Engineers who are members of the Association of Filipino Canadian Engineers (AFCE). This researcher used a combination of self- made and standardized Survey Questionnaires published on Google Forms, as well as face to face interviews where permitted. The questionnaires were sent via email or social media platforms such as Messenger and LinkedIn. The data collected were then tallied, analyzed, interpreted and summarized using statistical treatment such as Mean, Pearson r correlation, Standard Deviation and Frequency. The study revealed that Filipinos has assimilated well to the Canadian Society in terms of cultural dimensions with the exemption of Collectivism. This research study also found out that there are leadership traits or skills that need to be tweaked in order for the Filipino Canadian Engineers to be a productive part of Engineering and Construction industry. This researcher identified workshops including Assertiveness training, Critical and creative thinking, Emotional Intelligence, Intercultural and interpersonal communication, and public speaking shall be introduced.
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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 | 0.002 |
| Science and technology studies | 0.023 | 0.004 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".