Vulnerability to climate change in Igloolik, Nunavut: what we can learn from the past and present
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Significant and rapid climate change is predicted for Arctic regions. These changes are expected to have implications for indigenous communities. This paper argues that the starting point to understand how future climate change may affect communities is analysis of past and present experience of, and response to, climate variability and change. Using a vulnerability approach, the paper provides an historical account of changing vulnerability to climate-related risks among Inuit in Igloolik, Nunavut. The research demonstrates that Inuit in Igloolik have been highly adaptable in the face of climatic stresses. This adaptability has historically been facilitated by traditional Inuit knowledge, resource use flexibility and diversity, group mobility, and strong social networks. However, societal changes, and more recently biophysical changes, have increased the susceptibility of people to climatic risks and have undermined certain aspects of adaptive capacity. The research indicates that the implications of future climate change will be influenced by the interaction between biophysical and societal changes, will vary over time in response to forces internal and external to the community, and will be differentiated among social groups.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it