Unintended consequences: examining the impact of tax credit programmes on work in the Canadian independent film and television production sector
Bibliographic record
Abstract
In Canada, the institutional framework that shapes labour markets for film and television professionals includes a combination of policy instruments operating at local, provincial and federal levels. Through an examination of the impact that federal and provincial film and television tax credit programmes have on labour markets and workers in the English language Canadian independent film and television production industry, this analysis will demonstrate that despite having an overall, albeit fluctuating, positive impact on the volume of work at national and subnational levels, tax credit programmes at the provincial level are producing perverse labour market effects. Although designed to promote Canada and its provincial jurisdictions as globally competitive centres of excellence for film and television production, the application of the tax credit scheme has negatively impacted on both working conditions and labour mobility for highly skilled film and television production workers in the English language independent production sector. The end result is a policy regime deeply rooted in a competition framework that contributes to, rather than ameliorates, the vulnerability of workers in film and television production labour markets in both major and regional production centres.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".