Leaving a Legacy Through Conferences and Exhibitions: The Enduring Value of Repeat and Globally – Rotating Events in Vancouver, British Columbia
Bibliographic record
Abstract
Conferences and exhibitions are important events that are associated with a range of positive impacts for attendees and other stakeholders on different scales. However, recent external disruptions such as COVID-19 and other global environmental and economic uncertainties have led to an increase in virtual and hybrid meetings. As virtual and hybrid events have increased, the ongoing value of in-person conferences and exhibitions has become less clear. This study explores the short-term outcomes and long-term legacies of five national and international conferences held in person at the Vancouver Convention Center, in Vancouver, British Columbia, Canada in 2022. The study also compares the outcomes of conferences that return to the destination annually and those that rotate globally. The analytical framework is informed by the outcome and legacy approach developed by the BestCities Global Alliance, and the United Nations Sustainable Development Goals. The study identifies 47 short-term outcomes and 17 long-term legacies; affirming the value of in-person conferences and conventions. Key outcomes for returning and globally rotating conferences are also identified, as well as suggestions to guide the management and study of conference outcomes and legacies in other contexts.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 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".