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Record W6987721535

Um iceberg norvegese lungo Yonge Street. Il Ryerson University Student Learning Center di Snohetta.

2018· article· en· W6987721535 on OpenAlexaboutno aff

Bibliographic record

VenueVirtual Community of Pathological Anatomy (University of Castilla La Mancha) · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicMedia, Communication, and Education
Canadian institutionsnot available
Fundersnot available
KeywordsStudioCenter (category theory)NorwegianBridge (graph theory)Architecture
DOInot available

Abstract

fetched live from OpenAlex

Norwegian studio Snohetta designed a Learning Center for the 21st century students of Ryerson University in Toronto, Canada. It is a “library without books” for the digital natives of the Net Generation, but also a city icon placed on a corner of the busy commercial Yonge Street, where they created an outside stepped meeting place, protected under a glimmering blue ceiling which is an invitation to the interior entrance hall. Up from this hybrid hall which embraces the first three levels of the university spaces (ground floor and underground are destined to retail spaces connected to the street) and above the bridge connecting directly to the old RU Library (where students can still get physical books) the RU Learning Center works autonomously floor by floor. Baptised by the authors with different names, they correspond to varying layouts of enclosed study rooms and common study areas, characterized by different colours and materials, with special emphasis on “The Beach” where the new spirit of this generation of urban digital tribes is clearly revealed by the comfortable look of the groups random aggregation.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
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 head0.033
GPT teacher head0.299
Teacher spread0.266 · 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
Published2018
Admission routes1
Has abstractyes

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