Reproducing Toronto's Design Ecology: Career Paths, Intermediaries, and Local Labor Markets
Bibliographic record
Abstract
Abstract: Creativity is becoming the currency of the contemporary economy. A sustained literature in economic geography and elsewhere has pointed to the importance of creativity, especially in the cultural industries. Production in these sectors often rests upon access to deep pools of highly skilled talent, primarily in large urban regions. However, the recent literature has stated that cultural or creative inputs are not limited to these industries, but also extend into other sectors of the economy that benefit from access to the same (local) labor markets. It is argued that creative work is primarily project based and that highly skilled creative professionals move seamlessly from project to project and from job to job. This circulation of talent is viewed as crucial to the flow of knowledge and the (re)production of practices, norms, and reputations across firm and industry boundaries within the city‐region. Despite the compelling nature of this description, the labor market dynamics that underpin this circulation of creative workers remain poorly specified and only weakly substantiated. This article addresses this issue by investigating systematically the local interfirm and interindustry dynamics of creative labor markets. Using evidence from the detailed career histories of practicing designers, as well as in‐depth interviews with various institutional actors in Toronto, it documents how the careers of designers are characterized by precariousness and high levels of circulation within the local labor market. The analysis also demonstrates the importance of reputation building, repeated collaborations, shared career paths, and mediation by a constellation of formal and informal intermediary actors for career development.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 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".