Regional Accessibility of Post-Earthquake Emergency Healthcare in Metro Vancouver, BC
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 system under investigation is the regional network of emergency healthcare facilities and transportation infrastructure in Metro Vancouver, British Columbia. This dataset was developed to support a regional assessment of healthcare accessibility following a major earthquake hazard, specifically under a suite of physics-based Cascadia Subduction Zone (CSZ) M9 earthquake scenarios. The dataset integrates spatial information on hospitals with emergency departments, bridges, and the regional road network, along with estimated seismic damage states for healthcare and bridge assets based on seismic fragility analysis. The data address the research problem of quantifying how earthquake-induced physical damage affects access to critical medical services. Hospital functionality and bridge performance are combined with accessibility metrics based on the Enhanced Two-Step Floating Catchment Area (E2SFCA) method to evaluate system-level interdependencies and spatial variations in emergency healthcare availability after an earthquake. The dataset can be reused to reproduce or validate regional accessibility assessments or incorporate information for multi-hazard assessments of regional infrastructure. The data are valuable for researchers, infrastructure planners, and emergency management professionals seeking to improve the resilience of interconnected health and transportation systems. All documentation required for use of the data set is included in the Data Report.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 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 it