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

2020· dissertation· en· W7061513920 sur OpenAlexaboutno aff

Notice bibliographique

RevueLu Zone Ul (Laurentian University) · 2020
Typedissertation
Langueen
DomaineEngineering
ThématiqueThermal Analysis in Power Transmission
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWork (physics)SustainabilityPopulationGovernment (linguistics)Order (exchange)Scope (computer science)
DOInon disponible

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,272
Score d'incertitude au seuil0,856

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,216
Écart entre enseignants0,201 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2020
Routes d'admission1
Résumé présentoui

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