Bibliographic record
Abstract
MBAA International is an academic organization that is comprised of twelve formal organizations.A small group of professors formed the group in 1964 as the Midwest Business Administration Association.The group has since shortened the name to MBAA International, since "Midwest" inaccurately describes its membership.Attendees represent all 50 states and dozens of countries.In fact, this year's international business track (one of 13 tracks) alone had registrants from Turkey, China, Thailand, Japan, South Korea, and the Netherlands, making it a truly international and multidisciplinary conference experience.The MBAA Annual Conference takes place each spring in downtown Chicago at the Palmer House hotel-where it has been for the last 53 years.One of MBAA's member organizations is the Academy of International Business -U.S. Midwest Chapter, which is also a member chapter of the Academy of International Business (AIB), an organization that fosters research in international business.Research is produced primarily by business educators, practitioners, and scholars, and is disseminated via the Journal of International Business Research and Practice (JIBRP), as well as professional conferences like MBAA International.AIB hosts an annual conference each year, rotating among international locations.The 2017 annual conference was held in Dubai, United Arab Emirates, July 2-5. Nature of the conferenceThe three-day event begins with business meetings and receptions, followed by two days of program sessions led primarily by business faculty in 13 business-related tracks, from accounting to case research and operations management.Entertainment is provided both nights, giving attendees ample time to network and mingle.The themes this year were "Choosing the right tools for the job: Educators providing good options," and "Publishing: Practical help for publishing success."As has been the case in recent years, attendance has been increasing steadily.Attendance for the 2017 meeting in Chicago was nearly 900, growing by almost 100 over the previous year. Participating in the conferenceMBAA International has designed a unique submission process that sets up its participants for success.Prospective program presenters must submit full-length research papers for review.If accepted, the authors are asked to present their research at the conference and solicit feedback from attendees.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.255 | 0.168 |
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 source (direct Gemma or distilled Codex), 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".