Climate Change, Water, Sanitation and Energy Insecurity: Invisibility Of People With Disabilities
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The problems associated with climate change, energy scarcity, water and sanitation insecurity and severe natural disasters are at the forefront of both national and international policy agendas. Increasingly, people with disabilities are those most critically affected by these environmental challenges; however, literature addressing the implications for people with disabilities remains scarce. The well-being of people with disabilities is threatened by this invisibility. Here, we present survey results that suggest how women, children, people with disabilities, indigenous people, ethnic minorities, and industry in both high and low income countries are perceived to experience these environmental challenges. Respondents ranked people with disabilities between first and third in regards to experiencing climate change impact, energy scarcity and water and sanitation insecurity. Our results emphasize the need to make the impacts of climate change, energy scarcity and water and sanitation insecurity experienced by people with disabilities a priority for local and global discourses, public policy formation and academic research.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| 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 it