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Record W6913259358 · doi:10.5683/sp2/z3v1zg

Mayfair Apartments (Jane McGill apartment) - Integrated Project Dossier (2016)

2020· dataset· en· W6913259358 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsApartmentArchitectureParliamentCenter (category theory)Work (physics)World heritageIndustrial heritageSustainability

Abstract

fetched live from OpenAlex

The Mayfair Apartments is a seven-storey building built-in 1936 at 260 Metcalfe Street in Ottawa, Ontario. This mid-rise apartment was converted from an apartment hotel into a Co-op in 1982 and became a condominium in 2001. Designed by the McGill trained architect Hugh A. Richards, this building is a rich example of Stripped Classical Architecture with pronounced Beaux-Arts influences in Ottawa. Due to its architectural and historical value, this building is designated as Category Two under the Ontario Heritage Act. The site is located on 260 Metcalfe Street, at the corner of Metcalfe Street and MacLaren Street. The building’s location in the center town is prominent due to its proximity to the parliament hill and other significant buildings in the area. When it was first built, there were not as many tall buildings, thus, it had a better view to the Parliament building and the other landmarks, unlike now where only the east block is visible. This is the Integrated Project Dossier compiled by a group of undergraduate students of the Architectural Conservation and Sustainability Program (Engineers and architects) at Carleton University for the CIVE3207 (ARCN4100) Historic Site Recording and Assessment course in 2016.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.252
Threshold uncertainty score0.501

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0370.057

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 head0.035
GPT teacher head0.293
Teacher spread0.258 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreDataset

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
Published2020
Admission routes2
Has abstractyes

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