Decolonizing Development: Perspectives from Indigenous Communities
Bibliographic record
Abstract
In this symposium we will explore possibilities for Indigenous organizations to become a force for decolonization. Business enterprises owned and operated by Indigenous communities are one way for them to participate in the market economy. The challenge is to develop enterprise management and governance structures that allow Indigenous communities to participate in economic activity without sacrificing their social and cultural ties that are integral to their wellbeing. The long and violent history of colonialism has also shaped the experience of Indigenous communities’ relationship with the market economy. Indigenous resistance is thus central to the decolonial project, which rejects the universalistic and ‘objective’ assumptions of Eurocentric epistemologies and modernity while privileging multiple local histories, ways of knowing and ways of being in the world. In this symposium several Indigenous researchers will present their work that explores possibilities of how Indigenous organizations can engage with the decolonial project. In what ways do Indigenous epistemologies shape the ways in which Indigenous peoples and organizations participate in the market economy? What are the experiences of Indigenous entrepreneurs and businesses in their engagement with the market economy? What are the risks for Indigenous communities and organizations in participating with states and corporations in developmental and resource extraction projects? What alternative forms of organizations and economies can emerge from Indigenous imaginaries? These are some of the questions we will explore in the symposium. Decolonizing Development: Perspectives from Indigenous Communities Presenter: Bobby Banerjee; City U. London Decolonizing Indigenous Entrepreneurship: Economic Reconciliation through Hybrid Venture Creation Presenter: Rick Colbourne; U. of Northern British Columbia Community Entrepreneurship: The Case of the Sami Peoples Presenter: Leo Paul Dana; MBS Membertou Becoming a Force for Decolonization? Hybridity, Institutional logics, and Compromise Presenter: Mary E. Doucette; Cape Breton U. Tribal Sovereignty Presenter: Joseph Scott Gladstone; U. of New Haven Maasai and Hadzabe Peoples of East Africa. Presenter: Aloysius Marcus Newenham-Kahindi; U. of Saskatchewan Indigenous Community-Based Enterprises: Spaces for Resurgence and Decolonization Presenter: Ana Maria Peredo; U. of Victoria
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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 | 0.010 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.044 | 0.059 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.003 | 0.019 |
| Research integrity | 0.007 | 0.011 |
| 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".