Messeveranstaltungen als fokale Schnittstellen der globalen Ökonomie
Bibliographic record
Abstract
Trade fairs as focal intersections in the global economy. Trade fairs have long been the focus of studies in business administration, investigating the importance of such events as marketing and sales instruments. In contrast, only few studies have analysed the nature of information and communication flows during these gatherings and studied them as platforms for processes of learning and knowledge creation. This paper argues, that the roles of trade fairs in these processes differ according to sector, market focus and spatial reach. Particularly international flagship fairs have become central nodes which connect the global economy and provide participating firms with access to new technologies, market trends and potential business partners. They bring together agents from all over the world and create temporary spaces of presentation and interaction, or temporary clusters. This paper develops a typology of trade fairs regarding their potential to support processes of knowledge creation and innovation. Further, it analyses the interaction patterns during seven such events in Germany.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".