Bibliographic record
Abstract
<p>Site selection is integral to market share and profitability of retail outlets. Geographical similarities between Chicago and Toronto inspired the implementation of an analogue model centred around socioeconomic/demographic data for Chick-fil-A (CFA) expansion into GTA power centres. 1, 3, and 5km concentric rings were delimitated around Chicago store locations, combined variable averages were calculated and compared to Chicago’s regional averages. Median household income, percentage of family households, population density, and residents between 30 -39 and 60 were found to be above average in combined Chicago CFA store trade areas. Analysis of McDonalds, Wendy’s, and KFC spatial relationship with Chicago CFA stores showed no evidence of parasitic behaviour. Results of the analogue model yielded the top 10 suitable power centre nodes in the GTA. Suitable power centres location were found in Richmond Hill, Markham, Mississauga, Oakville, Burlington, Pickering, North York, Etobicoke, and Leaside..</p>
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.
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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".