Global citizenship amid COVID-19: why climate change and a pandemic spell the end of international experiential learning
Bibliographic record
Abstract
The September 2019 Global Climate Strikes witnessed hundreds of thousands of students express forms of global citizenship through street-level environmental activism. These strikes were led, and motivated, by youth who chose to strike from class in order to send a message to world leaders. It was an enormous occupation of public space and public imagination that encouraged schools to cancel classes for students to go outside to engage in street-level politics. Five months later, everyone was told to stay at home. COVID-19 ordinances effectively made many normal activities suddenly illegal, including the sort of activism that engaged youth around the world only months before. This article explores how the Global Climate Strikes and the COVID-19 pandemic will be important moments to advance the concept of global citizenship education within International Development Studies, and especially around the place of international experiential learning in the discipline. Studying, and volunteering abroad, has been long encouraged in International Development Studies (IDS), but with a global youth movement encouraging less carbon-based travel, more street-level activism and a pandemic demanding more digital learning, how will International Development Studies programmes respond? The author argues that International Development Studies can adapt to these events through “Anthropocene Activism”, a term used to depict global connectedness and consciousness for change-making politics. IDS programmes will need to focus curriculum on inclusive postcolonial pedagogy including land-based pedagogy, foster skills of intercultural communication and encourage change-making politics, even if it means expressing it indoors and online. Climate change and COVID-19 are global problems that will require a global citizenship education that goes far beyond experiential learning through service-learning, and instead recognise that meaning can be made out of our current global challenges, including through Anthropocene Activism.
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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 | 0.009 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.008 | 0.024 |
| Scholarly communication | 0.016 | 0.013 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.005 | 0.009 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".