Bibliographic record
Abstract
Despite decades of research on the global mind-set concept, no cohesive framework has emerged through which this way-of-thinking can be developed in learners, leading some to perceive the global mind-set as elusive. To move the literature forward, I propose a theory-driven pedagogy which combines insights from the extant global mind-set literature with the key tenets of transformative learning theory. On that basis, five course design principles are distilled along transformational learning phases which delineate the process through which learners can advance their ability to handle cognitive complexity and foster a cosmopolitan perspective. The importance of the learners’ agency and interdependency between learning elements is highlighted. The efficacy of this approach, which was first applied to a graduate-level course at a large North American research university in the 2021 winter semester, receives promising preliminary support. Specifically, while little difference exists across all courses in the sample with regards to quantitative scores, a qualitative text analysis of comments suggests that the course design framework generates distinct response patterns, specifically with regards to the categories of learning experience (cognitive complexity) and broadening of perspectives (cosmopolitan orientation). Implications for future research opportunities on the development of global mind-sets in practice are discussed.
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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 | 0.002 | 0.002 |
| 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 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".