Giigido (s/he speaks in Ojibwe): an architectural exploration of Ojibwe language learning in the Atikameksheng Anishnawbek First Nation
Bibliographic record
Abstract
Acknowledging the endangered state of Indigenous Languages situated in the colonial narrative of Canada, this thesis investigates the capabilities of architecture as a tool to support existing language revitalization strategies. It presents a process of knowledge gathering, recording, and interpretation that identifies key concepts inherent to language and identity. Investigating topics through a lens of actions and processes, the body of knowledge is analyzed through the act of making. As a result of first-hand material explorations and community consultations, this thesis proposes an architectural typology unique to the Atikameksheng Anishnawbek First Nation community. The proposed typology represents a spatial interpretation of the Ojibwe language, inherently criticizing the continuously imposed Western concept of education and imposed architectural designs. As a kit of parts, the proposal is fully adaptable to meet the community’s needs and is intended to complement their residential expansion and language revitalization plans.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.016 | 0.008 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".