Business, Human Rights and the IBA Climate Justice Report
Bibliographic record
Abstract
The 2014 Climate Justice Report by the International Bar Association (IBA) makes many recommendations designed to contribute to the fight against climate change. One important step forward is its explicit recognition of the responsibility of business to respect human rights affected by climate change. This commentary explores the extent to which the IBA’s approach to this issue aligns with the business responsibility to respect human rights as described in the 2011 United Nations Guiding Principles on Business and Human Rights. The commentary also considers other international standards that incorporate business responsibilities for human rights in order to determine whether sufficient guidance has yet emerged for businesses to effectively address human rights and climate concerns.
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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 | 0.014 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.016 | 0.006 |
| Open science | 0.003 | 0.005 |
| Research integrity | 0.034 | 0.024 |
| Insufficient payload (model declined to judge) | 0.005 | 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".