Learning by making: exploring possibilities for a local construction ecosystem through a makerspace in Kangiqsualujjuaq
Bibliographic record
Abstract
The current construction industry in Nunavik is largely disconnected \nfrom the northern communities where the buildings themselves are \nconstructed. Fabrication occurs in Quebec, materials are shipped \nnorth via barge and assembly is completed by a visiting southern \nconstruction crew. Furthermore, the high cost of housing in \ncombination with rapid population growth has resulted in an ongoing \nhousing supply crisis. Through the expansion of opportunities \nfor local training and innovation, there lies the potential to \nsimultaneously address several of these issues. Spaces for learning by \nmaking are an integral aspect to this effort. Inuit are their own makers \nand they actively continue to exercise these skills. However, vernacular \ndesign traditions have historically been ignored for the most part by \nsouthern decision makers with an institutional view of what qualifies \nas accepted building knowledge. \nThis thesis addresses the question: how can the design of a \nmakerspace serve as a means to expand local opportunities for \na more sustainable, culturally reflective building ecosystem in \nKangiqsualujjuaq? Review of literature on the current building \ndelivery system and possibilities for sustainable solutions, case studies \non makerspaces in northern location and an investigation of local \nmaterial culture form the primary methodology. The comprehensive \ndesign of a makerspace is presented that draws inspiration from Inuit \nmaking culture with the intent to explore alternative, locally-driven \navenues in the sustainable development of Kangiqsualujjuaq’s built \nenvironment. Lastly, the conclusion reflects on ways to return this \nwork to the community and considers the wider applicability of this \nmakerspace concept across Nunavik.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".