PERCEPTIONS OF VULNERABILITY TO SEVERE’ WEATHER IN PANGNIRTUNG, NUNAVUT
Bibliographic record
Abstract
In June of 2008, the community of Pangnirtung, Nunavut experienced a rainstorm that caused extensive geological and structural damage. The local government characterized the event as 'severe’, however several residents pointed out the effects to the land and impacts to the community were at best exciting, and at worst, inconvenient. This thesis explores firstly, how the concept of ‘severe’ weather is constructed by social groups in Pangnirtung and secondly, how such constructions, along with Inuit worldview, experiential knowledge, governance, institutions, and access to resources, influence perceptions of vulnerability to significant weather events. The research shows the importance of cognitive processes in shaping the way groups define, use, and interpret 'severe' weather, and highlights the methods used to cope with feelings of insecurity elicited by these conditions. The results of this study enhance understandings of difference within populations and can be used to promote successful collaborations among community and research partners.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".