The E‐MBA action learning: lessons for hospitality leaders
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
E‐MBAs are becoming an attractive option for career professionals and organizations in the hospitality and tourism industry to build competitive advantage. As core faculty in the distance MBA program in The School of Hospitality and Tourism Management at the University of Guelph, the development of the E‐MBA has provided valuable lessons for leaders to understand how e‐learning builds leadership competency and capability in hospitality and tourism organizations. The research behind the action learning leadership framework is founded on the extensive work of the author at the University of Guelph. The author has pioneered distance MBA and leadership programs using the Internet to link people, knowledge and strategy with IT to build leadership competencies and online learning communities for managing in the knowledge‐based era. Evidence of this can be seen in a “virtual tour” of the distance MBA program at the following Website: www.emba.uoguelph.ca
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 | 0.002 | 0.001 |
| 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 | 0.001 | 0.001 |
| 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