Analysis of the Canadian national corporate social responsibility strategy: Insights and implications
Bibliographic record
Abstract
Abstract Incidences of corporate–community conflict and human rights violation associated with the activities of Canadian extractive companies (CECs) abroad have led to debates at home about the social responsibility of CECs overseas and the role of the Canadian government in corporate social responsibility (CSR). In response to these debates, the Canadian government launched the Canadian national CSR strategy to steer the CSR agenda of CECs. This paper questions and problematizes governmental discourses within the national strategies as a basis for contributing to the debate on the role of government in CSR. We show that the Canadian national CSR strategy embodies the same neoliberal tendencies as the European governmental approach to CSR. However, while the Canadian government's approach to CSR emerged with an emphasis on self‐regulation, it has now morphed into a form of enforced self‐regulation. Hence, the Canadian government adopts both collaborative and confrontation strategies in its efforts to make self‐regulation effective.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".