Situating Daisaku Ikeda’s essential elements of global citizenship within contemporary scholarship: a qualitative meta-synthesis
Bibliographic record
Abstract
This article reports on meta-synthesis research that examined contemporary scholarship on global citizenship for the purpose of identifying a possible alignment with Daisaku Ikeda’s views on global citizenship. Thirty relatively contemporary scholarly articles on the subject matter were examined using a qualitative meta-synthesis methodology. Ikeda’s speech entitled ‘Thoughts on education for global citizenship’, delivered over 25 years ago at Columbia University’s Teachers College, USA, contains his most frequently cited ideas on the salient conditions required for global citizenship. As Ikeda is a thoughtful and prolific author on the subject of global citizenship, there is merit in exploring the alignment of his ideas about this concept with those articulated in contemporary scholarship. Conducting a meta-synthesis through the lens of Ikeda’s essential elements of global citizenship has helped to identify potentially useful contributions to the global citizenship discourse. This article highlights salient common themes of global citizenship uncovered through the meta-synthesis research, as well as providing an alternative definition of global citizenship gleaned from the findings.
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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 | 0.107 | 0.109 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.013 | 0.015 |
| Science and technology studies | 0.006 | 0.010 |
| Scholarly communication | 0.011 | 0.010 |
| Open science | 0.002 | 0.009 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".