Spatial Versus Non-Spatial Determinants of Shopping Center Rents: Modeling Location and Neighborhood-Related Factors
Why this work is in the frame
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Bibliographic record
Abstract
This study is an attempt to model the economic trade-off between spatial and non-spatial determinants of shopping center rents while assessing the role of neighborhood and location attributes in the rent setting process. For that purpose, two space-related indices, namely the Economic Potential Index (EPI) and the Center Attraction Index (CAI), are designed based on a major origin-destination phone survey and on financial data obtained for eight major shopping centers in Quebec City, Canada. The database, which is processed through a regional GIS, includes 1,007 retail units, representing some 4.4 million square feet of gross leasable area. While findings confirm that the EPI act as a significant determinant of shopping center rents, they also bring out the complexity of the relationships between endogenous and exogenous rent determinants.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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