The Rights and Role of Indigenous Women in The Climate Change Regime
Bibliographic record
Abstract
Climate change has direct and indirect consequences for individuals and their human rights (McInerney-Lankford et al. 2011). With the Arctic warming at twice the global rate, its inhabitants already experience many of these challenges. Marginalized groups, like women and indigenous peoples, are particularly vulnerable, with existing research providing evidence of ongoing and potential threats to their roles in community adaptation and in shaping change (Cameron 2011, Arctic Resilience Report 2016). While women’s rights are formally codified as human rights under the Convention on the Elimination of Discrimination against Women (CEDAW), and indigenous peoples’ human rights are codified and recognized in the UN Declaration on the Rights of Indigenous Peoples (UNDRIP), indigenous women’s rights are often neglected at both the international and local level. In this article, we apply an intersectional lens to demonstrate that indigenous and non-indigenous women are agents of change. In doing so, we examine how a human rights based approach might ensure indigenous women’s participatory role and legal status in the international climate change regime, as well as its related programs.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.017 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".