Two-eyed seeing. Trauma-wise curriculum: Siksikees'tsuhkoom (blackfoot lands) and human ecology
Bibliographic record
Abstract
In an era where Home Economics classrooms still reverberate with colonial conceptions of home and family and the traumas associated with the residential school project in Canada, this analysis of Vaines' Human Ecology cannon is weighed for its potential to achieve Two-Eyed Seeing, a curricular framework from Indigenous Scholar Marie Battiste (Mi'kmaq, Potlotek First Nation). By proposing Vaines' Human Ecology as one eye and Nation-specific kinship and land-based ontologies as one eye, this paper calls Home Economists to action, to question, face, and supplant violence present in Home Economics ontologies that continue to disrupt Indigenous family integrity, moving towards trauma-wise curriculum in collaboration with Neighbour Nations. An ontological framework from the Blackfoot Confederacy is used as an example to model bedrock values for any community who has been the target of colonial educational assimilationist policies.
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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".