Is Corporate Social Responsibility an effective intervention for sustainable development? The case of Canadian mining companies in Burkina Faso
Bibliographic record
Abstract
Quite a number of Canadian mining companies claim that their corporate social responsibility (CSR) efforts can contribute to sustainable development (SD). However, several studies suggest that CSR initiatives in Africa are yet to make a significant, long-lasting socio-economic contribution. This research focuses on six Canadian mining companies operating in Burkina Faso, a country in West Africa that has recently become a hotspot for gold extraction. By employing a qualitative content analysis method to analyze companies’ archives and other textual sources available within the public domain, through the theoretical lens of economic democracy, this study interrogates whether the current neoliberal CSR framework is an effective intervention to address Burkina Faso’s socio-economic challenges. The findings from this research reveal the contradictions between stated CSR intentions and the mining companies’ priorities, thus making noteworthy contributions to literature that investigates CSR and sustainable development in Africa’s natural resource sector.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.036 | 0.010 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".