Bibliographic record
Abstract
Chicago's large, diverse automotive industry specialized in truck, bus, and taxicab assembly, as well as automotive-parts manufacture, in the first decades of the twentieth century. From having just a handful of companies before World War I, by the mid 1920s Chicago grew to include more than 600 firms that were producing a wide assortment of automotiverelated products. This large, successful industry emerged out of two sets of advantages: First, Chicago's well-developed production factors—ranging from relatively advanced transportation and industrial facilities to a large labor force and an effective entrepreneurial business class—promoted industrial growth. Second, the automotive industry's production practices, elaborate division of labor, and intense set of interfirm relations encouraged metropolitan expansion. Even though the city's firms functioned both regionally and nationally, they were also deeply embedded within a local world of innovation, interaction, networks, financing, and servicing. Further adding to these advantages was Chicago's distinctive geography, which enabled a dense complex of linked, interrelated firms to flourish and contributed to the automotive industry's success before 1930.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.001 | 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".