Creating diversity capital: transnational migrants in Montreal, Washington, and Kyiv
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
do urban communities accommodate this century's massive transnational migrations? This volume seeks clues about how a city's capacity for urban social sustainability, termed diversity capital, may expand under such conditions. author, Blair A. Ruble, examines three cities, now receiving large numbers of new immigrants, that have long histories of division into just two communities of language and race: Montreal, Washington, and Kyiv. The growing presence of individuals who do not fit into long-standing group boundaries fundamentally alters the social, cultural, and political contours of traditionally bifurcated metropolitan regions, writes Ruble. How does that presence change perceptions and institutions? Creating Diversity Capital approaches this topic in terms of how the new immigrants live, work, and go to school and describes how the politics in each of these cities has changed, or failed to change, in the face of the new demographics. A special feature is the use of important new information on Kyiv from a set of surveys conducted by the Kennan Institute in 2001-2
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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 | 0.001 | 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