Biocultural Design: A New Conceptual Framework for Sustainable Development in Rural Indigenous and Local Communities
Bibliographic record
Abstract
New approaches for sustainable development in rural indigenous and local communities have emerged that are rooted in their distinct cultural identities and claims for greater control over land, development and identity. One such approach is that of biocultural heritage, which emerged out of work to document biocultural diversity undertaken in part by members of the Commission on Environmental, Economic and Social Policy (CEESP) of the International Union for Conservation of Nature (IUCN). CEESP members have developed this work over the past twenty-five years, both through work with the Convention on Biological Diversity (CBD) and other policy forums, but also through the operationalization of rural development policies and programs. One area that has not been fully examined, however, is the contribution of biocultural heritage to local processes of innovation that can explicitly meet communities’ contemporary needs and objectives. This paper presents a new approach called ‘biocultural design’ and seeks to open a conversation about how endogenous innovation could support sustainable development in rural indigenous and local communities. By introducing design thinking to the field of biocultural heritage conservation, biocultural design offers a process for indigenous and local communities to pursue aspirations of self-determination and endogenous development through product/service innovation. It is an approach that may enhance communities’ adaptive capacity in responding to dynamic and changing environments and IUCN’s goal to deploy nature-based solutions to global challenges in the next quadrennial period.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.008 | 0.056 |
| Scholarly communication | 0.012 | 0.010 |
| Open science | 0.004 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".