2006b). “Vulnerability to climate change in Igloolik, Nunavut: What we can learn from the past and present.” Polar Record 42(2
Bibliographic record
Abstract
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. Contents
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".