MétaCan
Menu
← Back to cohort
Record W6950801556 · doi:10.5683/sp2/4zgwgs

Experimental Farm: Building 95 - Integrated Project Dossier (2019)

2022· dataset· en· W6950801556 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2022
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsBarnGovernment (linguistics)RentingSustainabilityAgricultureCultural heritageNatural heritage

Abstract

fetched live from OpenAlex

Building 95 also known as the Small Dairy Barn of the Canada Agriculture and Food Museum located at 901 Prince of Wales Dr, Ottawa is a Recognized Federal Heritage Building. It has both historic and architectural heritage value. Building 95 is closely associated with a government research project undertaken between 1910 and 1920. The aesthetically pleasing design of the barn is reminiscent of the “Wisconsin Barn” type of the mid-west United States popular at the end of the 19th century, the barn has a host of features that contribute to its heritage value and make it an interesting research project. Building 95 or informally known as Meadowview Barn is a small dairy farm located on 901 Prince of Wales Drive and a part of the Nepean Community. The Wisconsin style house is adjacent to the Agricultural Museum at the Central Experimental Farm National Historic Site of Canada in Ottawa. The building covers 2400 ft^2 and after many external and internal modifications, it has become a two-story rental space. Due to the fragile conditions of the building the function altered from a dairy farm to rental space for sheep shows and weddings. 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 2019.

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)0.005
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 score0.090
Threshold uncertainty score0.179

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.007
Science and technology studies0.0010.000
Scholarly communication0.0020.002
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0510.066

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 head0.032
GPT teacher head0.327
Teacher spread0.295 · 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
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueBorealis→French-language works237,207→