Bibliographic record
Abstract
The purpose of this article is to explore the existing relationship between leaders and today’s competitive environment and innovation. The three strategies that leaders (as cited in Cumming, 1998) can use to create a climate that encourages innovation are (1). The foundation of creativity, (2). The application of a new idea and (3). The applicability of a successful concept. Legrand and Weiss (2011) reveal that 80% of the leaders in the organization believe that innovation is important for the organization's future success. Bill Gates, the former Chief Executive Officer (CEO) of Microsoft clearly believed and understood that innovation is important element for organizational success. Innovation is the engine for growth for all businesses in the 21 century. Innovation and creativity (as cited in Angle, 1989) shared similar characteristics. Corporate culture and a climate that encourages innovation are two factors that are often found within the leadership literature. Therefore, a leader needs to understand the applicability of the living system theory among individuals and organizations by reshaping the social progress of the business world as noted by Vancouver (1996).
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 | 0.002 |
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".