Promoting international development through corporate social responsibility: the Canadian government's partnership with Canadian mining companies
Bibliographic record
Abstract
A recent trend in mainstream international development discourse has been to emphasize the role corporations can play in promoting sustainable development in the Global South. In Canada, this is exemplified in a recent public-private partnership between the Canadian government, three Canadian mining companies, and international non-governmental organizations (NGOs), to deliver development projects through the companies' corporate social responsibility (CSR) initiatives. This new partnership poses serious questions about the role, if any, that governments should be playing in financing the overseas CSR projects of multinational corporations. The paper argues that the Canadian government is increasingly allowing corporate actors to influence the country's development agenda, to the detriment of civil society actors. Moreover, the government is using CIDA (now DFATD), and ODA, not to promote development abroad, but to aid Canadian commercial interests by helping Canadian mining companies obtain a social licence to operate.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".