Communities and Museums in the 21st Century : Shared Histories and Climate Action
Bibliographic record
Abstract
Communities and Museums in the 21st Century brings together innovative, multidisciplinary perspectives on contemporary museology and participatory museum practice that contribute to wider debates on museum communities, heritage, and sustainability. Set within the context of globalisation and decolonisation, this book draws upon bi-regional research that will enrich our understanding of the complex relationships between Europe, Latin America and the Caribbean through museum studies and practice. Chapters reflect upon the role of museums in defining community identities; the importance of young people’s participation and intergenerational work for sustainability; the role of museums in local development; and community-based museums and climate change. Contributors examine these issues through the lens of museum partnerships and practices, as well as testing the continued relevance of the notion of ‘integral museum’ and its relatives in the form of ecomuseums. With its focus on regional museums in Latin America and Caribbean, this book highlights how the case studies promote greater intercultural dialogue, global understanding and social cohesion. It also demonstrates how the methodology can be adapted to other communities who are facing the perils of climate change and unsustainable forms of development. Communities and Museums in the 21st Century proposes creative and sustainable strategies relevant to a globalised future. With its focus on global societal challenges, this book will appeal to museologists and museum practitioners, as well as those working in heritage studies, cultural studies, memory studies, art history, gender studies, and sustainable development. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons (CC-BY-NC-ND) 4.0 license
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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 | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.029 | 0.052 |
| Scholarly communication | 0.017 | 0.014 |
| Open science | 0.002 | 0.024 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".