Making Space for Heritage: Collaboration, Sustainability, and Education in a Creole Community Archaeology Museum in Northern Belize
Bibliographic record
Abstract
Working with local partners, we developed an archaeology museum in the Creole community of Crooked Tree in the Maya lowlands of northern Belize. This community museum presents the deep history of human–environment interaction in the lower Belize River Watershed, which includes a wealth of ancient Maya sites and, as the birthplace of Creole culture, a rich repository of historical archaeology and oral history. The Creole are descendants of Europeans and enslaved Africans brought to Belize—a former British colony—for logging in the colonial period. Belizean history in schools focuses heavily on the ancient Maya, which is well documented archaeologically, but Creole history and culture remain largely undocumented and make up only a small component of the social studies curriculum. The development of a community archaeology museum in Crooked Tree aims to address this blind spot. We discuss how cultural sustainability, collaborative partnerships, and the role of education have shaped this heritage-oriented project. Working with local teachers, we produced exhibit content that augments the national social studies curriculum. Archaeology and museum education offer object-based learning geared for school-age children and provide a powerful means of promoting cultural vitality, and a more inclusive consideration of Belizean history and cultural heritage practices and perspectives.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.021 | 0.010 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.002 |
| 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".