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Record W6894334538 · doi:10.5683/sp2/vjqwsh

18 York Street: Restaurant E18hteen (Group 2) - Integrated Project Dossier - 2017

2020· dataset· en· W6894334538 on OpenAlexaff

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsArchitectural stylePlan (archaeology)Style (visual arts)Floor planEmpireSpace (punctuation)

Abstract

fetched live from OpenAlex

The building currently housing Restaurant E18hteen at 18 York Street in the Byward Market was constructed in 1876 by James R. Bowes. Its architectural significance pertains to its ornate detail, such as the cornice, quoins, and drip moulds, as well as the dormers on the mansard style roof. A very detailed cut stone façade shows the craftsmanship related to the Second Empire style. Originally built as a three-storey theatre with a 700 person capacity, it is now home to two restaurants and office space above. 18 York Street has maintained its architectural, contextual, and historical value by the thoughtful restoration of ornate details of the Second Empire Style. Although the physical floor plan of the building has changed, it has conserved its original materials and decorative elements. 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 2017.

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 score0.101
Threshold uncertainty score0.200

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0360.073

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 head0.061
GPT teacher head0.311
Teacher spread0.250 · 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 routes1
Has abstractyes

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