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Record W7016097594

Wellness architecture: the magnitude of spatial healing of wellness in workplace culture

2022· dissertation· en· W7016097594 on OpenAlexaboutno aff

Bibliographic record

VenueLu Zone Ul (Laurentian University) · 2022
Typedissertation
Languageen
FieldPsychology
TopicFacilities and Workplace Management
Canadian institutionsnot available
Fundersnot available
KeywordsQuality (philosophy)EntertainmentAffect (linguistics)Space (punctuation)Organizational cultureArchitectureQuality of life (healthcare)Entertainment industry
DOInot available

Abstract

fetched live from OpenAlex

This study focuses on to the needs of the new generation entering the workforce, with the intention of prioritizing their wellbeing and offering a space that represents work-life balance. It takes on a building at 205 Yonge Street, formerly owned and
\noccupied by the Toronto Dominion’s Bank in Toronto’s Financial and Entertainment District, as a theoretical model for an
\nadaptive reuse project that serves the broader creative community.
\nHow can architecture support mental illness and physical wellness in the new workplace?
\nThis thesis explores existing knowledge and theory regarding human well-being and the fundamental shifts of workplace
\nculture. Through a series of case studies, it analyzes office designs and their correlation to health. This research seeks to gain an
\nunderstanding of the body’s relationship to the spatial environment, specifically body movement, the configuration of furniture
\nand the quality of space. By analyzing and synthesizing existing theories and data, the theoretical model demonstrates the
\npotential of new workplace designs to improve physical and mental wellness. The outcome of this thesis is the re-imagination
\nof an inclusive workplace culture that fosters wellness by emphasizing a sense of community among professionals.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.467
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0070.000

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 head0.007
GPT teacher head0.229
Teacher spread0.222 · 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.

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
Published2022
Admission routes1
Has abstractyes

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