Company towns : labor, space, and power relations across time and continents
Bibliographic record
Abstract
Company Towns: Concepts, Historiography, and Approaches M.Borges & S.Torres Form and Reform: The Garden City of Hellerau-bei-Dresden between Company Town and Model Town M.Ryan Van Zee From Colonial Company Town to Industrial City: The South Manchuria Railway Company in Fushun, China L.Teh 'Little Storybook Town': Space and Labor in a Company Town in Colonial Angola, 1913-61 J.Ball Labor Resistance and Accommodation among Immigrant Workers in the Oil Company Towns of Patagonia, Argentina S.Torres & M.Borges When Ghosts Hovered: Community and Crisis in the Company Town of Britannia Beach, British Columbia, Canada, 1957-65 K.Rollwagen Company Towns in a Transnational Commodity Chain: Social and Environmental Dimensions of Aluminum Production in Porto Trombetas, Brazil, and Ardal, Norway F.Meyer Race and Gender in Peripheral Resource Towns: Boundaries and Boundary-crossings in Tanjung Bara Mining Camp in Kalimantan, Indonesia K.Lahiri-Dutt Reflections on an Appalachian Camelot: Place, Memory, and Identity in the Former Company Town of Wheelwright, Kentucky, U.S.A L.Perry
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.004 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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 source (direct Gemma or distilled Codex), 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".