The 2022–2023 <i>Event Management</i> Journal State of Play Review
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
This article provides the state of play of Event Management since the current editorial team took over in November 2021 until manuscripts accepted in September 2023. Our bibliometric analysis indicates 234 distinct authors from Africa, the Americas, Asia, Europe, the Middle East, and Oceania contributed to the journal. Together with the varied theories and perspectives used to ground the research, the international nature of our authors demonstrates the growth, maturity, and robustness of event studies published in Event Management . Though sport events dominated, festivals, conferences/private events, and mixed or industry-wide studies were also published. Five meta-themes emerged: the event industry, social impacts and sustainability, destination image, temporal and contextual factors, and performance. The focus on the human and social elements is striking and welcome in this postpandemic era. Finally, we identify submission gaps, offer future research directions [e. g., artificial intelligence (AI)/technology and sustainability], and suggestions to strengthen the journal and field.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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