Bibliographic record
Abstract
Over the past couple of decades, North Americans have found themselves living in an increasingly culturally and ethnically diverse society. In response to this explosive growth in diversity, communication and creative industries must become more sensitive to their target audiences. Henry Steiner and Ken Haas's book Crosscultural Design: Communicating in the Global Marketplace, published in 1995, is one of the earliest graphic design books to address the topic of cross-cultural issues in visual communication. This paper carries on the spirit of 'cross-cultural design' by exploring its applications in teaching at the university level. Using case studies of York University design students' coursework and a workshop for graphic designers, 'Design and Cultural Roots,' held at the University and College Designers Association (UCDA) Annual Conference in Toronto in October 2007, this study examines the issues of teaching cross-cultural design in North America. Analysis will be made to compare the work by York's students with the exercise done by Caucasian-American participants in the workshop. This study contributes to the understanding of teaching cultural roots in visual communication design.
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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 | 0.005 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.006 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".