A Bi-Epistemic Community Project: Accounting for Socio-Political Realities
Bibliographic record
Abstract
This paper will describe the inter-disciplinary and bi-epistemic social science research project that included Indigenous and non-Indigenous community members, leaders, educators, and researchers.In partnership with a Native Friendship Centre in Ontario, Canada, the research project honours an Indigenous knowledge framework.It should be noted that Native Friendship Centres provide various culturally appropriate and respectful services and programs for predominantly urban-based Indigenous youth and community members and supports this research to develop Indigenous peoples' identities as producers of narratives.The paper, therefore, provides the necessary context of the culturally appropriate interviews grounded in Indigenous epistemologies.Moreover, the paper will discuss how the outcomes of the culturally appropriate interviews complement the broader socio-political realities as they relate to education.Specifically, how Indigenous students' epistemologies have historically been unrepresented in public education thereby negatively impacting upon their sense of engagement, and how educators themselves can better relate to Indigenous students' learning needs and preferences.
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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 | 0.040 | 0.055 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.009 | 0.004 |
| Scholarly communication | 0.007 | 0.010 |
| Open science | 0.003 | 0.015 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".