Weaving Curriculum, Assessment, and Pedagogy: Global Citizenship Experience Lab School’s Whole-School Approach to Sustainability and Global Citizenship Education
Bibliographic record
Abstract
Abstract This chapter presents a case study of Global Citizenship Experience Lab School in Chicago, USA—a secondary school dedicated to integrating curriculum, assessment, and pedagogy to promote real-world experiential learning. The chapter analyzes the school’s use of scaffolding to introduce students and teachers to a project-based learning model and examines the school’s commitment to global citizenship as an entry point for a whole-school approach to sustainability. Theoretical contributions to the field of education for sustainable development recommend integrated, whole-school approaches to sustainability. However, schools transitioning to such a holistic model face many challenges due to the wider systems in which they are embedded. This case study exemplifies how approaching school redesign as a process of simultaneously rethinking curriculum, assessment, and pedagogy may instill a more relational way of thinking, which is essential if we are to transcend and transform the social and ecological crises of today.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".