Bibliographic record
Abstract
In representations of Métis architecture across Turtle Island, the discourse is often reduced to a handful of iconic symbols: the Red River framed home specifically with dovetail joinery, the Métis sash, and the Red River cart. All incredibly thoughtful and intricate bodies of work and knowledge, however, this thesis is built within the context of contributing to that growing body of architectural thought by offering another seat at the table, one rooted in kinship, story, and worldbuilding. Divided into four sections, this work builds an architecture of kinship, where form, craft, and story pass across geographies, time and generations. The chapter Grandfather Stories highlights historical Red River construction built between the 1860s and 1940s, featuring three variations of joinery techniques that operate as utilitarian forms, but also as fantastical expressions of the Michif everyday. Grandmother Stories features grandmother pieces, historic Red River beadwork, that highlight land-based knowledge, maps teachings, kinship, memory, and land, presenting a beadwork map as both record and a design tool. The Children Stories chapter engages with Michif folklore beings and teachings from mermaids to monsters that occupy both the real and mythological cultural landscape of the Michif. The final chapter, Kinship Table, la taab di li vwaazayn, begins to worldbuild from this research and folklore stories, inviting them to shape space through a fantasy VR video game that positions worldbuilding as a method of Indigenous Architecture. Rather than an escape, fantasy becomes a return; an immersive way to design with land, story, spirit, and kin. This work does not aim to define Indigenous architecture, but rather to offer the Kinship Table to its abundance.
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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 | 0.000 | 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 | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.024 | 0.003 |
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".