“All the problems in the community are multifaceted and related to each other”: Inuit concerns in an era of climate change
Bibliographic record
Abstract
OBJECTIVE: Human dimensions of climate change research in the Arctic often proposes ways for local communities to adapt to changes to their environment, foregrounding problems posed by climate change while treating social, political, and economic factors as background conditions. We explore the relevance of this research paradigm for Inuit by examining how Inuit from Kangiqsujuaq present and discuss the major issues facing their community. METHODS: We thematically code and analyze the responses of 107 Inuit to three free-response questions about the problems facing their community and the best things about their community. The data were collected as part of a questionnaire for a project focused on food security and food sharing conducted in Kangiqsujuaq, Nunavik, in 2013 to 2014. RESULTS: Few respondents mentioned issues relating to climate change among the most pressing problems faced by their community. Rather, a suite of interconnected social and economic issues, particularly substance abuse and the cost of living, emerged as the main concerns of Kangiqsujuarmiut. However, the environment was a central theme in respondents' favorite thing about their community. CONCLUSIONS: In light of the concerns identified by Inuit, we argue that much research on climate change makes incorrect a priori assumptions and consequently fails to capture aspects of Arctic socioecological systems that are essential for how Inuit are responding to climate change. An inductive, open-ended approach can help produce research more relevant to communities.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".