National Inuit Climate Change Strategy.
Bibliographic record
Abstract
We understand climate change in our homelands, and our leaders are responding to it. Inuit Nunangat is recognized as a global climate change hotspot, garnering national and global concern. We continue to emphasize that no one is more aware or concerned about the changes taking place in our homelands and their consequences than Inuit, as evidenced by our strident and effective advocacy for global action on climate change over the last three decades. We have an intimate understanding of how climate change is impacting the physical environment, and the wildlife and ecosystems that sustain us. We are deeply concerned about the complex impacts of climate change on our social, cultural and economic systems, and our health and well-being. Our vision and priorities must guide climate action that affects Inuit Nunangat Coordinated, effective action to mitigate and adapt to the impacts of climate change is essential. We are determined to actively shape climate policies and actions so that they are inclusive and effective for Inuit, improving our quality of life rather than adding to the socio-economic inequities we already face. We emphasize that we have critical contributions to make to climate policy and decision-making as rightsholders and knowledge-holders first and foremost. Our message is that for climate actions to be effective, appropriate, equitable, and sustainable for Inuit Nunangat, they must be in line with our collective Inuit vision for building the sustainability, prosperity, and well-being of our communities in the face of a changing climate. This vision and its context are described in detail in Part I of the Strategy.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.009 |
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".