Toiminnallisten kulttuuritekijoiden sisallyttaminen suunnitteluunssa
Bibliographic record
Abstract
Kitigan Zibi Anishinabeg First Nation (KZA) is the largest Algonquin reserve in terms of population and land area in Canada. The expression of how form and function come together in aboriginal contexts is currently at a standstill. This thesis is composed of design components which are functional, aesthetically pleasing and respect the culture of the Algonquin peoples of KZA. These elements will knit the Algonquin culture together by expressing tradition through architecture, therefore affirming and reinforcing KZA’s cultural values. The majority of the research was completed through interviews, meetings and discussions with the community. I spent time living on the reserve, learning from different members of the community and conducting research. It was very important to learn directly from the nation of KZA as the majority of Algonquin culture is passed on through word of mouth as opposed to written text. The result of this study is a community centre which showcases cultural components. This project will be gifted to Kitigan Zibi Anishinabeg First Nation. Further studies could incorporate using a similar research and design strategy with other First Nation communities to fulfill other design objectives.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.006 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.038 | 0.006 |
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".