Development of High-technology Industries in the Portland/Vancouver Metropolitan Area: An Analysis of Regional and Intraregional Factors Affecting High-tech Firm Locations
Bibliographic record
Abstract
This thesis aims to investigate local conditions of high-tech industry development in the Portland/Vancouver CMSA. To do so, the research proceeds in four major stages. First, it is analyzed how historical factors contributed to the rise of high-tech industries in the CMSA. The second part consists of mapping the distribution pattern of hightech establishments. The U.S. Bureau of Census' County Business Patterns statistics are used to calculate the number of high-tech establishments and employees by branch (SIC code) and county; two high-tech directories help to identify the exact firm locations. Thirdly, an explanatory set of locational factors is established, based on interviews with various regional and local economic development agencies and on a review of relevant economic theories. Finally, the impact of state and local policies on high-tech firm locational decisions is elaborated. The development of high-tech industries in the Portland/Vancouver CMSA can be divided up into three phases. While the first phase (1945 to 1974) is mainly distinguished by local entrepreneurship, the second phase (1975 to 1984) is characterized by an in-migration of high-tech firms headquartered outside the Pacific Northwest. Beginning in 1985 (phase III), Japanese high-tech investment became the most significant growth factor. High-tech establishments are not evenly distributed over the metropolitan area, but their locations are rather marked by distinctive clusters. Recent high-tech industry development is largely a suburban phenomenon, avoiding inner-city areas and the CMSA's eastside with its traditional metalworking industry base. Most Californian and foreign-owned high-tech companies have established only standardized branch production and assembly facilities in the Portland/Vancouver CMSA to take advantage of low business costs. Although the high quality of life enables high-tech firms to recruit easily scientific, engineering, and technical personnel to the CMSA, the majority of companies has not yet set up R&D centers. Main reason is the missing link to a prominent research university nearby. Therefore, state and local policies have shifted their focus from attracting foreign branch plants to improving the quality of educational institutions.
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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 | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".