GLOBE 2020: The Latest Findings on Cultural Practices, Culture Change, and Leadership Ideals
Bibliographic record
Abstract
The current phase of the GLOBE (Global Leadership and Organizational Behavior project) research project, titled GLOBE 2020 (globeproject.com), is in its third year as a major extension and expansion of almost 30 years of collaborative work conducted by the GLOBE research team. During the first GLOBE research program, conducted in the early to mid-1990s, we studied cultural values, cultural practices, and leadership ideals in 62 countries through surveys of over 17,000 middle managers (House, Hanges, Javidan, Dorfman, Gupta, 2004). In GLOBE 2020, our main focus is on cultural practices and leadership ideals through surveys of 300-500 middle managers in each of more than 100 countries with the support of a team of more than 280 researchers. In this symposium, we share the initial findings of this ongoing study, that may add value by sharing details on instrument development and translations procedures and initial insights on culture and leadership. Our study is unique in that it is among the largest multi-country academic studies ever attempted. The countries in this study account for 92% of world population and 98% of world GDP. The project uses an instrument that was validated in a six-country pilot test and has been scientifically translated into 51 languages.
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 | 0.001 | 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 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".