Canadian Mining Internationally and the UN Guiding Principles for Business and Human Rights
Bibliographic record
Abstract
Summary Between 2005 and 2011, there was much debate, both within Canada and at the United Nations (UN), over what role home states should play in the regulation and adjudication of human rights harms associated with transnational corporate conduct. In Canada, this debate focused upon concerns related to global mining that led to a series of government, opposition and multi-stakeholder reports and proposals. These culminated in 2010 with the appointment of an Extractive Sector Corporate Social Responsibility Counsellor and the defeat of Bill C-300, An Act Respecting Corporate Accountability for the Activities of Mining, Oil or Gas in Developing Countries. Meanwhile, at the UN Human Rights Commission/Council, John G. Ruggie was appointed Special Representative to the UN Secretary-General on Business and Human Rights (SRSG). Ruggie’s work led to the 2008Protect, Respect and Remedy: A Framework for Business and Human Rightsand the 2011Guiding Principles for Business and Human Rights(the latter designed to “operationalize” the former). While both documents highlight state duties to protect against human rights violations by businesses and the need for access to remedies by victims, the role of home states in this regard was contested. This article compares the developments in Canada between 2005 and 2011 with the work of the SRSG in relation to the home state duty to protect human rights in the transnational corporate context. It also offers reflections on the implications of the inevitability of industry and industry lawyer participation for the development of home state legal obligations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.013 | 0.002 |
| Open science | 0.003 | 0.004 |
| Research integrity | 0.007 | 0.008 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".