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Record W6990423305

DESA1002 'Nine Quarter City' - <Anuradha Seneviratne>

2008· other· en· W6990423305 on OpenAlexaboutno aff

Bibliographic record

VenueThe Sydney eScholarship Repository (The University of Sydney) · 2008
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)FeelingChoseDaylightTheme (computing)Object (grammar)Key (lock)Galileo (satellite navigation)
DOInot available

Abstract

fetched live from OpenAlex

This semester my project was a student housing project. I chose this project to follow with because I have some knowledge in the area as well as it suited my location. The overall theme for Venice was to create new and interesting places for the youth to hang out. Keeping this in my mind, during the weekly exercises I consciously tried to drive my project in a modern, youthful direction. I also consciously wanted the project to look different to the function. These two key points made my vague vision to reality. The building structure was to look like an image of an exploding object while the cladding reflects the modern era (the 21st century). The faces of the building facing to the sky were clad with photovol glass, which absorbs the heat of the sunlight but allows the daylight to pass through. This heat is transferred into electricity for the building. The faces facing away from the sky were clad with reflective glass. This allows spaces, which are enclosed seemed more closed, and spaces, which are open, more open. This play on the psychology suited the position of the building; also the appreciation of the courtyard. The interior also took an interesting turn; rather than having rows of rooms, I decided to create small apartments for students. Four students will share a kitchen and a bathroom. This was effective because it strengthens bonds between students and thus strengthening the community feeling which was the key to this project. The connecting bridges also help to strengthen this feeling.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.085
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0050.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.007

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 head0.016
GPT teacher head0.200
Teacher spread0.184 · 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; both teacher heads agree on what is shown here.

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
Published2008
Admission routes1
Has abstractyes

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