Practitioner expectations for intern leadership skills: implications for interior designer education
Bibliographic record
Abstract
Intern interior designer leadership skills, expected by practitioners in Canada, were explored in this thesis to identify implications for interior designer education. Employment of a 16 question quantitative, online survey, examined National Council of Interior Design Qualification (NCIDQ) certified practitioners beliefs about intern leadership skills. A majority of the 116 participants agreed a leader skill set, that includes authentic and design leadership skills, is valuable for interns to have in practice. Six authentic leadership skills: self-improvement, self-monitoring, goal-commitment, openness, positivity, and composure alongside four design leadership skills: adaptability, professional, building-relationships and collaborative rank as the top ten skills. Respondent practitioners also hold post-secondary interior design educators, interior designers, and interns most accountable for leadership education. Recommendations for interior designer education include increasing authentic leadership development opportunities and practitioner involvement. Further, unification of leadership perceptions and consistent leadership language, along the full interior designer education path, is encouraged for programmatic success.
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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 | 0.012 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".