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Record W3006353746

Interior exterior thresholds: A restaurant in the Assiniboine Forest

2019· dissertation· en· W3006353746 on OpenAlexaboutno aff
Billy Bautista

Bibliographic record

VenueMspace (University of Manitoba) · 2019
Typedissertation
Languageen
FieldArts and Humanities
TopicArchitecture, Design, and Social History
Canadian institutionsnot available
Fundersnot available
KeywordsGeographyArchitectural engineeringForestryGeologyEngineering
DOInot available

Abstract

fetched live from OpenAlex

Interior designers are often tasked with providing solutions for spaces that are defined as being inside. Interior design should not be limited to this condition. Spaces have qualities and characteristics that hold value, regardless of whether it is inside, outside, enclosed, or non-enclosed. This practicum project challenges this way of practice by exploring interior and exterior thresholds. The explorations of this project are presented through the design of a restaurant in the Assiniboine Forest, Winnipeg, Manitoba. This restaurant highlights the value the Assiniboine Forest has to offer and celebrates these qualities through all four seasons. The built environment highlights key research findings in interior and outdoor rooms, place-making, and thresholds. Ideas that are discussed in this project are influenced by theorists, researchers, and practitioners such as Christian Norberg-Schulz, Tim Cresswell, Jean Baudrillard, Jane Rendell, Teiji Ito, Barrie Greenbie, and Kengo Kuma, to name a few. I bring forward a design project that illustrates how interior designers can challenge the boundaries that lie between the realms of interior and exterior with particular reference to the conditions of Winnipeg.

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 score0.914
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.023
GPT teacher head0.208
Teacher spread0.185 · 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
Published2019
Admission routes1
Has abstractyes

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