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Record W6912949265 · doi:10.5683/sp2/9rfdho

Billings Estate Museum (Attic) - Integrated Project Dossier (2015)

2020· dataset· en· W6912949265 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsEstateReal estateHousing estateReal estate developmentOld townWork (physics)

Abstract

fetched live from OpenAlex

Billings Estate is one of the oldest estates in the city of Ottawa as well as a focal point of the Billings area. The Billings family contributed much to the region’s history while playing a political role in the upbringing of the city. After being passed on through many generations of the family, the estate was finally bought by the City of Ottawa and made into a museum in 1975. Designated as the Billings House National Historic Site of Canada, Billings Estate is a two and a half storey, five-bay house classically built in the New England style of the Georgian period. Billings Estate, built between 1828 and 1829, was the home of the Billings family and one of the first houses built in the city of Ottawa. The family-owned much land, with the estate originally consisting of 8.3 acres overlooking the Rideau River, and holds one of Ottawa’s oldest community cemeteries. As such, Billings Estate played a key role in the development of the Billings region of today. Now a museum owned by the City of Ottawa, Billings Estate is a designated federal heritage site for its architectural, historical and cultural values under the Historic Site and Monuments Act (R.S.C., 1985, C.H.4). This project focuses specifically on the attic area. 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 2015.

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)0.002
metaresearch head score (Gemma)0.003
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: none
Teacher disagreement score0.919
Threshold uncertainty score0.406

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.1210.037

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 head0.040
GPT teacher head0.305
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 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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