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Record W7043258155

Sensual building systems: a thermodynamic approach to urban public space

2021· dissertation· en· W7043258155 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2021
Typedissertation
Languageen
FieldEngineering
TopicArchitecture, Modernity, and Design
Canadian institutionsnot available
Fundersnot available
KeywordsPerceptionTransformative learningFocus (optics)Energy (signal processing)PreferenceConstant (computer programming)Space (punctuation)Envelope (radar)Built environmentSituated
DOInot available

Abstract

fetched live from OpenAlex

There is energy all around us, left unperceived by the senses. At the interface of the envelope, energy transformations are constantly occurring within the layers. For architectural design, these predominantly unseen energies affect perceptions of the exterior, and potential ‘felt’ experiences of the interior. The zones of energy that exist amongst the envelope should not separate the interior from the exterior, rather they should be seen as a transformative system of exchange between the exterior and the body within a thermodynamic space. In effect, this creates a zone ‘in-between,’ with various ergonomic conditions that can be felt by the body. Within the urban environment there is constant sensory overload. Preference is given towards natural environments for places of relaxation and well-being. Parks and green-spaces attempt to encourage comfort in the city, but the provided places rarely consider the dynamics of the seasons and the interactions between demographics. By filtering and modulating our perceptions of ‘energy,’ and the occurrence of microclimates, there can be a re-attunement towards the ways urban environments are perceived and experienced. The awakening of thermal perceptions can increase sensitivity to the ‘felt’ senses, tempering the visual, and promoting well-being through sensual building systems. In terms of sustainable design, common approaches rarely look at the provided support for the occupants’ well-being and the relationship between the body and the ‘felt experience’ of architecture. Sustainable practice tends to focus on quantitative factors rather than qualitative needs. With a lack of visual means and simulation technologies to understand thermal behaviour and the energy transformations that occur, sustainability has a difficult time advancing in terms of well-being and body comfort. Accordingly, there should be an alternative perspective on energy. Where energy is understood as a vital component to public space and the interactions between people and their experiences within the built environment. As the hub for Northern Ontario, Downtown Sudbury will be investigated, along with the need for urban public space under winter conditions. At the proposed Downtown site of 70 Elm street, the public space will engage the varied demographics, whilst providing an intriguing insight into designing with thermal energy. As a south facing pocket park condition, the public space will bring a thermally-rich engagement towards the senses, and serve to generate positive experiences, for a new perception towards urban environments. In turn, a more inclusive micro-culture will be formed through the incorporation of ‘energetic’ interactions, acting as a social and sensory therapy to destress and connect with others, and become more attune to urban thermodynamic surroundings. Experimentations with thermal energy and energy phenomena will be conducted to understand thermal radiation and laminar flow to ultimately create a range of potential ‘felt’ experiences amongst threshold spaces, suggesting activities for warmth or cooling. The method of thermal imaging will develop an understanding of material application and form, in terms of thermal conductivity and mass. The findings will lead to a knowledge of spatial properties, creating platforms with spaces that are thermally ergonomic and can be modulated for customized comfort. From the research into thermodynamics and the zone of concern being the ‘in-between’, the experiments will provide a translation of these interests to potential sensory experiences; enabling an urban site to be conceived for community healing and well-being.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0030.012
Scholarly communication0.0060.005
Open science0.0020.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.001

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.

Opus teacher head0.011
GPT teacher head0.190
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
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
Published2021
Admission routes1
Has abstractyes

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