Observing Regularities in Location Patterns
Why this work is in the frame
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Bibliographic record
Abstract
The location of economic activity in Spain is analysed, employing a methodology previously applied to Canada. We ask whether the regularities posited for Canada also hold for Spain, despite the differences in geography. Using census data for the years 1991 and 2001, Spain's 8,086 municipalities are classified according to population size and distance thresholds analogous to those applied to Canada.The location patterns of industries are plotted in relation to these classes. The results reveal, on the whole, spatial distributions consistent with posited regularities and previous findings. Location patterns are fairly stable over time, reconfirming the continued weight of distance and of agglomeration economies. The results also show a crowding-out process in Spain, similar to that observed for other nations, fuelling the growth of manufacturing activity in locations in close proximity to metropolitan areas.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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