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Record W4229499241 · doi:10.32920/ryerson.14651505

National Icon Rediscovered: Hockey Arena for a Sustainable Future

2021· preprint· en· W4229499241 on OpenAlexaffabout
David Panopoulos

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicDesign Education and Practice
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsSustainabilityPacePublic relationsSustainable designBeneficiaryMarketingEngineeringBusinessPolitical scienceGeography

Abstract

fetched live from OpenAlex

In Canada the hockey arena has served as a place where individuals would not only gather to play hockey but a place for socializing on and off the ice. With today’s high pace, high demand life styles and with the shift in individual’s needs and desires, the arena has lost all of its interactive and engaging traits with the user and observer. The arena offers nothing besides hockey. This thesis will examine the reconsideration of hockey arena design for a sustainable future. Through literatures on past and present arenas designs, sustainability in sports designs and designing sports facilities for communities as a designer we are able to generate new and innovative design responses. Commencing with case studies on sustainable sports design projects, lessons can be learnt to help gather successful design traits, in addition to learning from mistakes of the past. Through a design proposal which implements a new and innovative scheme, and by challenging design through the three issues of sustainability, will aid in demonstrating how by expanding the role of the arena will provide beneficiary needs and desires for a community. This would potentially add to longevity of the infrastructure while increasing its overall building usage. By addressing these problems as a designer we can recreate the arena back into a destination point in which it once was, but now with new flexible, interactive and engaging community and public spaces.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.818
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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.279
Teacher spread0.262 · 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 designNot applicable
Domainnot available
GenreOther

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 routes2
Has abstractyes

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