Canadian Mining Companies and Corporate Social Responsibility: Weighing the Impact of Global Norms
Bibliographic record
Abstract
Abstract.This study analyzes the factors that led two Canadian mining companies, Noranda and Placer Dome, to adopt polices on corporate social responsibility (CSR). Although much has been written on CSR in the business and organization fields, there has been little scholarly treatment of the topic from a social sciences perspective. A common assumption is that companies are merelyreactingto societal pressures from transnational non-governmental organizations. This study challenges that assumption, by weighing the impact of emerging global norms of CSR against influences internal to the companies themselves, and domestic influences operating in Canada. The research findings point to the decisive influence of internal company dynamics and the experience of operating mines in Canada. While emerging global CSR norms are important, their role is more complex than is often assumed, as mining companies have beenproactivein their efforts to shape those norms. Résumé.Cette étude analyse les facteurs qui ont amené deux sociétés minières canadiennes, Noranda et Placer Dome, à adopter des politiques concernant la responsabilité sociale de l'entreprise (RSE). La RSE a fait couler beaucoup d'encre dans le domaine des affaires et de l'organisation, mais peu de chercheurs s'y sont intéressés dans la perspective des sciences sociales. On part très souvent de l'hypothèse que les sociétés se contentent deréagiraux pressions sociales exercées par les organisations non-gouvernementales transnationales. Cette étude remet cette hypothèse en question en comparant l'impact des normes globales émergentes de la RSE aux influences internes aux sociétés elles-mêmes, et aux influences domestiques qui s'exercent au Canada. Les résultats révèlent l'influence décisive des dynamiques internes des sociétés et celle de l'expérience dérivée de l'exploitation des mines au Canada. Les normes globales émergentes en matière de RSE sont certes importantes, mais leur rôle est plus complexe qu'on ne l'admet souvent car les sociétés minières ont joué un rôle très actif dans leur élaboration.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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".