Intermediaries in the U.S. Market for Technology, 1870-1920
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
We argue that the emergence of a well-developed market for patented technologies over the late nineteenth and early twentieth centuries facilitated the emergence of a group of highly specialized and productive inventors by making it possible for them to transfer to others responsibility for developing and commercializing their inventions.The most basic of the institutional supports that made this market possible was, of course, the patent system, which created secure and tradable property rights in invention.But trade was also facilitated by the emergence of intermediaries who economized on the information costs associated with assessing the value of inventions and helped to match sellers and buyers of patent rights.Patent agents and lawyers were particularly well placed to provide these kinds of services, because they were linked to similar attorneys in other parts of the country and because, in the course of their regular business activities, they accumulated information about participants on both sides of the market for technology.Our quantitative analysis of assignment contracts demonstrates that patentees whose assignments were handled by these specialists produced more patents over their careers, assigned a greater fraction of their patents, and also were able to find buyers for their inventions much more quickly than other patentees.In other words, the development of institutions supporting market trade in patented technology seems to have made it possible for creative individuals to specialize more fully in inventive work --that is, it seems to have set in motion the kind of Smithian processes that have generally been associated with higher rates of productivity growth.
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.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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