Emancipatory decoloniality as leadership in social service organizations: Insights from indigenous and anti-oppressive yarnings
Bibliographic record
Abstract
Abstract Around the globe, there is a growing demand for leadership in resolving longstanding social injustices experienced by Indigenous peoples. As part of a larger, international study, this article draws on early findings from yarnings/qualitative interviews to contribute to theorizing Indigenous leadership in social service organizations. Within our research design, the team of Indigenous and non-Indigenous researchers consciously centre Indigenous ways of knowing, being, and doing to build emancipatory, decolonizing theory and practice. The analysis in this article identifies Indigenous social justice leadership in several overlapping forms, including Indigenous-centred/cultural-centred ways of knowing, being, and doing; intersectional identities; partnerships; and envisioning for all. The article concludes with further early theorizing and calls for future research to delve more deeply into Indigenous leadership as it develops in resistance to new conditions, including the far-right push-back against human rights and equity and the constraints of neoliberalism.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.020 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".