The rising tide : the increase in elderly population, disasters and type 2 diabetes
Bibliographic record
Abstract
The recent statistical data reveal that there are considerable changes in the growing elderly population, the rise in natural disasters, and the increased prevalence of Type 2 diabetes (T2DM). These trends are occurring globally that draw attention to the importance of recognizing this population’s specific needs in the event of a disaster. Although Canada has suffered relatively few natural disasters, the occurrence of natural disaster worldwide is on the rise. Using a qualitative general research methodology, interviews were conducted with individuals over the age of 60 living with T2DM. The aim was to explore the participant’s knowledge of chronic disease management and assess their ability to manage their disease during a disaster. A literature review identified gaps in knowledge in the management of chronic diseases during a disaster. The theory of vulnerability is used to explain that elderly people living with T2DM are at an increased risk of harm if a disaster was to occur. This study found that identifying and understanding the specific needs of this population is important in the development of disaster planning for emergency managers and first responders. Keywords: elderly, disasters, chronic disease, Type 2 diabetes, vulnerability
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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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 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".