8Employment Location and Spatial Policies: Colombia and Korea
Bibliographic record
Abstract
In the next two decades the urban population in de- of management. The second and perhaps more easily veloping countries is likely to continue to grow about understood policy concern focuses on regional equity, four times as fast as in the industrial countries. Between since in most countries it is politically and socially 1975 and 2000 the urban areas of developing countries important to maintain a balance among regions in in-are expected to absorb about 1 billion people. In the come, opportunities for education and employment, and mid-1970s the net annual addition to the populations of urban amenities. Concerns about regional equity also Mexico City and Sao Paulo, for example, was over a half often underlie programs and policies that attempt to million each; the number was over a quarter million redirect population growth from large cities. each in Jakarta and Seoul. By 2000 the developing world In the middle-income countries of Latin America and
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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 | 0.000 | 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 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".