Stressors or Stresses? Addressing the Nuanaces of Multiple Stressors in Human Dimensions of Climate Change Scholarship in the Arctic
Bibliographic record
Abstract
This poster examines key conceptual nuances of multiple stressors in human dimensions of climate change (HDCC) scholarship. They include: (i) the internal vs. external nature of stressors, (ii) context disaggregation, and (iii) the application of the nirvana fallacy. Inuit are experiencing climate change in the context of multiple climatic and non-climatic stressors that are already affecting lives and livelihoods. Research shows that in many instances non-climatic stressors can be strategic policy entry points for enhancing adaptive capacity to deal with current and future climate change; supporting efforts that increase financial, health, educational and cultural capacity in communities has been shown to inadvertently enhance the capacity of individuals and the community to deal with current and expected future climate change risks. To date, however, the conceptualisation of multiple stressors in HDCC scholarship has been unclear, often resulting in a simplistic cause and effect interpretation of how Inuit experience and respond to climate change. It is argued that by exploring and unpacking some of the key nuances of the multiple stressors concept, we can advance HDCC scholarship and contribute to the development and implementation of effective climate change adaptation strategies in the Arctic and elsewhere around the world. This research is part of ArcticNet Project “Community Vulnerability, Adaptation and Resilience to Climate Change in the Arctic.”
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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".