Creating a cultural dialogue : reinforcing cultural identity on First Nations communities through the use of local materials and vernacular strategies
Bibliographic record
Abstract
The focus of this thesis/project is to reinforce the cultural identity of First Nations communities by incorporating local materials, vernacular strategies, and a collaborative effort into the design and build process. The Maliseet First Nations at Tobique, N.B., which will be used as a case study for this thesis/project, has experienced a deterioration of culture and community throughout the years. As oral tradition is fundamental to Maliseet culture, speaking the language, practicing techniques, and engaging with the community is vital in order to uphold the Maliseet people's cultural identity. However, these practices and values are fading in Aboriginal communities throughout the country. Isolated reserves such as Tobique also suffer from a lack of economic development and employment opportunities, causing residents to feel that they must fend for themselves rather than work collaboratively. Currently, almost all residential construction is contracted to outside developers, which use little to no band labour or resources. With limited government funding, houses constructed over the past few decades have generally been low in quality and constantly require repair, with many instances of severe mould damage. Learning from and incorporating vernacular strategies, techniques, and material use would offer appropriate responses to site and climate while reinforcing the Maliseet people's connection with their land and heritage. Engaging the entire community in the design and built process would pass on knowledge, techniques, and cultural values to the younger generation while strengthening the sense of community and cultural identity. An architectural approach which strives to enable a group of people through use of these strategies will promote self-sufficiency, engage the people in their culture and community, and open a cultural dialogue on the possibilities of design and its contribution to an evolving cultural identity.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.015 | 0.016 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.002 | 0.019 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".