Conceptualizing an Entrepreneurial Mindset in Sport for Development and Peace
Bibliographic record
Abstract
Within sport for development and peace (SDP), social entrepreneurship and innovation have been noted by scholars as important for navigating resource scarcity and adjusting to pressing social issues. However, most research remains focused on organizational-level innovation rather than at the individual level. The purpose of this paper is to examine the relevance of the concept of entrepreneurial mindset for the SDP field. Following a brief overview of social entrepreneurship and innovation in SDP, the foundations of an entrepreneurial mindset are outlined. Three aspects of an entrepreneurial mindset—cognitive, emotional, and behavioral—are discussed within the SDP context. Additionally, a set of research questions are presented to advance the existing body of knowledge. We argue that entrepreneurial mindset provides a meaningful framework for the identification of specific strategies for how SDP practitioners can create more transformative organizations through their recruitment, training, and support of staff members.
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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 | 0.005 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.020 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.004 |
| 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 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".