Heritage Education for Climate Justice and Adaptation
Bibliographic record
Abstract
Climate impacts and the need for adaptation are already challenging the established focus areas of heritage conservation education. This chapter reports on an education initiative entitled Just Transitions: Heritage Education for Climate Adaptation (JTHECA). The Climate Heritage Network (CHN) is a sweeping network of arts, cultural and heritage organizations focused on tackling climate change. The CHN includes academic departments from across the arts, humanities, sciences and engineering. The first event of JTHECA was organized in partnership with the International Council on Monuments and Sites (ICOMOS)/ICOMOS Canada as the first online ICOMOS University Forum. Emerging concepts that bridge topics of social justice and climate adaptation include “just transitions” and “building back better”. Emerging professionals in ICOMOS are already also organizing events like webinars to address climate change questions. JTHECA aspires to address much-needed capacity development for decolonizing education in heritage and climate adaptation.
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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 | 0.000 | 0.000 |
| 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 | 0.000 | 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".