A spatial analysis of the geodemographic segmentation system in the Greater Toronto area
Bibliographic record
Abstract
<p>The Greater Toronto Area is one of the most iconic areas in Canada for dense population, multiculturalism, wide selection of job opportunity and diverse neighborhood. Studying the consumer behavior of the GTA adds much value and interest to the public and private sectors. Previous studies and research forces on the wealth of the area and neglects to study the spatial poverty distribution of the area. One way to have a better understanding of the spatial poverty distribution of the geodemographic segmentation is by using census and expenditure data. The spatial poverty distribution geodemographic segmentation system generated five clusters. The poorest two clusters generated are Impoverished Black Single Parents and Chinese Widow Corridors. The Impoverished Black Single Parents has an annual average household income of $66,038. The Chinese Widow Corridors has an annual average household income of $84,066. Using summary tables, indices and maps better shows the different characteristics of each cluster.</p>
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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; 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".