The spatial economy of North American trade fairs
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
Through a study of trade fairs, this article illustrates that relational approaches to economic geography are not limited to the sphere of economic and social relationships. These relationships are influenced by and, in turn, shape material realities, such as specific infrastructure and the labour market, in a reflexive manner. Trade fairs are “relational events” that bring together regional, national, and often international producers, users, suppliers, and other agents of a value chain or technology field for the purpose of exchanging knowledge about technological and market developments, building partnerships, and maintaining existing networks through learning by interaction and observation. However, these events are also situated in space and time, grounded in the contexts of particular industries, trade patterns, public and private investments, as well as the economic geographies of places. Focusing on North America, this article presents and analyzes data on the economic geography of trade fairs and their regional economic impact (number of events, exhibitors, attendees, exhibition space). It explores regional trade fair patterns and dynamic changes in major trade fair cities by emphasizing the role of history and industry context.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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