Community-engaged Learning (CEL): Integrating Anthropological Discourse with Indigenous Knowledge
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The Indigenous Action Group (IAG) is an alliance of solidarity between Indigenous and settler faculty at the University of Toronto Mississauga with the Mississaugas of the Credit First Nation (MCFN), whose Treaty lands the campus is located on. This partnership of responsibility supports the MCFN goals of truth (through public knowledge and recognition of their history), and reconciliation (through the support and equitable sustenance of Indigenous pedagogy, knowledge systems, and research methodologies in educational institutions). The IAG has developed a Community-Engaged Learning (CEL) course to bring ontological pluralism to the Academy to legitimize Indigenous knowledges, epistemologies, and involve the placemaking of local Indigenous communities (Tuhiwah Smith, 2012). This second year undergraduate course entitled “Anthropology and Indigenous Peoples of Turtle Island (in Canada)” was developed and implemented by the Indigenous Action Group to prioritize first person voices from the local Indigenous community. We are hoping this diverse educational model will change the discourse in anthropology courses to begin a collective understanding of ongoing power imbalances and oppression in education from colonial mechanisms.
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.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.090 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.008 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it