Towards the construction of place‐specific measures of deprivation: a case study from the Vancouver metropolitan area
Bibliographic record
Abstract
There have been numerous attempts to measure population health outcomes using socio‐economic indicators. Few investigations have utilized a survey‐based approach. This article develops a new means for identifying key socio‐economic indicators of relative health outcomes within greater Vancouver, British Columbia (BC). The index, referred to as the Vancouver Area Neighbourhood Deprivation Index (VANDIX), was constructed from a survey of provincial Medical Health Officers (MHOs). The MHOs were asked to rank socio‐economic indicators selected from the 2001 National Census by their relative influence on health outcomes throughout the province. Response consistency was evaluated with a weighted Kappa test statistic. The VANDIX score was assigned to Census Dissemination Areas and Census Tract administrative geographies. The scores were then compared to a subset of the 2003 Canadian Community Health Survey (CCHS) Cycle 2.1 database on self‐assessed health. Outcome scores between the
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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; both teacher heads agree on what is shown here.
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".