Moving toward the Internationalization of an Academic Society: Twenty-First Century Perspectives and Collaborations
Bibliographic record
Abstract
International perspectives and collaborations are critical to the health of the kinesiology discipline during this supercomplex age. To that end, the National Association for Kinesiology in Higher Education (NAKHE) has adopted internationalization goals that support international faculty, joining forces with other academic societies across the world to promote innovation in programming, and to create international scholar leaders. Ideas related to specific internationalization virtues within kinesiology that were developed with international colleagues in Montreal, Canada at the PHE Canada Research Council Forum (May 2019) and at the Association Internationale des Écoles Supérieures d’Éducation Physique (AISEP, International Association for Physical Education in Higher Education) Conference at Adelphi University, Garden City, New York (June 2019) will be discussed. Themes coalesced into specific virtues including Collaboration, Valuing Diversity, Openness to Interdisciplinarity, Innovation, and Leadership. These themes will be discussed and put into the context of NAKHE’s internationalization efforts.
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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 | 0.027 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.027 | 0.054 |
| Scholarly communication | 0.035 | 0.026 |
| Open science | 0.002 | 0.021 |
| Research integrity | 0.005 | 0.012 |
| Insufficient payload (model declined to judge) | 0.004 | 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".