From economy to ecology: a policy framework for creative labour
Bibliographic record
Abstract
This document is a comprehensive examination of the concept of the creative economy and more particularly of how the current labour policy framework should adapt to the realities creative professionals. The report reflects a broad range of approaches to the creative economy in a number of countries which have undertaken to develop strategies to promote the creative economy and to encourage creative professionals. The report examines the Canadian approach to the status of the artist question and offers some new thinking about how best to deal with the unique characteristics of workers in the creative economy. . The report was commissioned as a contribution to the International Forum on the Creative Economy held in Gatineau on March 17-18, 2008. It was prepared for the CCA by Mirjam Gollmitzer, Research Associate, PhD Candidate, and Dr. Catherine Murray PhD, of the Centre of Expertise on Culture and Communities at Simon Fraser University in British Columbia.
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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 | 0.025 | 0.015 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.013 | 0.063 |
| Scholarly communication | 0.029 | 0.032 |
| Open science | 0.004 | 0.015 |
| Research integrity | 0.021 | 0.011 |
| Insufficient payload (model declined to judge) | 0.009 | 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".