MétaCan
Menu
Back to cohort
Record W7061513920

Redeveloping the houseboat community of Yellowknife: an exploration into the pertinence of true sustainability in northern communities

2020· dissertation· en· W7061513920 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Languageen
FieldEngineering
TopicThermal Analysis in Power Transmission
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)SustainabilityPopulationGovernment (linguistics)Order (exchange)Scope (computer science)
DOInot available

Abstract

fetched live from OpenAlex

Redeveloping the Houseboat Community of Yellowknife: An Exploration into
\nthe Pertinence of True Sustainability in Northern Communities confronts current
\nissues surrounding climate change and the potential solutions for one northern
\ncity, Yellowknife, NT. It strives to redevelop and adapt existing housing typologies in
\naccordance with green building certification systems to achieve true sustainability
\nwithout shortchanging the North. The architecture of the North is often expensive,
\nunsustainable, poorly constructed, and ill-suited to the climate, putting its occupants at a disadvantage. In Yellowknife, this is no different, and yet this resilient, creative, and driven community has begun to develop its own solutions. There are currently many homes that are offgrid and carry themes of material re-use,
\nmobile architecture, and generational expansion. In order to achieve regional relevancy,
\nthree existing housing typologies will be the focus of this thesis and serve as a basis for the design. These will be the houseboats, the manufactured home, and the “shack,” all of which are located within the
\nneighborhood of Old Town, the oldest and most unique neighborhood in Yellowknife.
\nThe strengths and weaknesses of each one of these typologies have been analyzed,
\nboth in terms of sustainability and cultural significance. Six of the most popular green building
\ncertification systems were analyzed using a matrix of twenty-two critical factors of
\nsustainability to ensure that the best systems would be used for this project. The
\nreality was that one system could not cover everything, and so Passive House an Living Building Challenge will be used to measure the success of the sustainability of this project and guide the design. The
\nuse of a green building certification systems serves as a tool to guide future practitioners but also helps to legitimize the efforts made in the North and give them a new way to rate the local built environment.
\nThe final design will combine all of the above to develop a renovation response for one of the existing houseboats. New construction is rare in the North, and often produces copious amounts of greenhouse
\ngases due to travel required for both materials and personnel. There is also a great
\ndeal of sequestered carbon in the existing buildings and a long history in Yellowknife
\nof retrofitting existing buildings through out their lifetime. The mistakes and knowledge gained from this first exercise will be used to develop a second design, this time a new build. This will use only recycled materials accessible to the local community, challenging designers perceptions of teriality. There will also be a community component to the house design, as there has been some contention between the
\nhouseboaters and the broader community of Yellowknife with respect to local sustainability. As a whole, the main focus will be to develop a method that takes architecture that has been developed regionally and makes it as sustainable as possible. This thesis focuses on the uniqueness of this community and how a solution can be
\ndeveloped so that the North can come to demand more from its architecture.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.856

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.216
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueLu Zone Ul (Laurentian University)Same topicThermal Analysis in Power TransmissionFrench-language works237,207