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Record W6950275423 · doi:10.5683/sp2/lfzaor

Silver Spring's Barn 2 - Integrated Project Dossier (2019)

2020· dataset· en· W6950275423 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsBarnResidenceCommissionValue (mathematics)Cultural heritageArchitectureFoundation (evidence)

Abstract

fetched live from OpenAlex

The Silver Spring Barn 2 was built in 1867 in the Ottawa Valley’s region which was known for its rich soils. It was owned by the Bearman Brothers which were second generation Irish settlers. It is currently used as a residence and workplace program for the mentally and physically disabled by the Association for persons with Developmental Disabilities. The farm now produces 40 000 garlic cloves a year. It has been recognized as a federal heritage building since September 28, 1989 and is the only designated National Capital Commission (NCC) barn in the Greenbelt. The sale of spring water is done at the farm as well. In 1989 the farm was deemed a Recognized Federal Heritage Building. The barn was built with the same scientific designs used for farm buildings at the time. Due to many of these buildings falling apart or being torn down for modern barns, the ones on Silver Springs Farm have not only lasted all these years but are also still functioning. While the barn has undergone restoration, the original foundation and materials used during its construction still remain, keeping the structural and aesthetic properties that make the barn an important example of 19th Century rural architecture. Alongside the barns historic value is its architectural value that helped make it a heritage building. From the layout of the barn to the materials put into it, everything was thought out, intentionally or not, to present the structure as a unified whole. By laying out the different barns into one shaped as a “U”, is a design aspect used to adapt to the changing extremes of Canada’s climate condition. In recent years, Ontario’s Greenbelt has been under threat. The Greenbelt helps prevent urban sprawl from getting out of hand as well as gives Ontarians access to local food and water. While Silver Springs Farm is just one of many in the Greenbelt, it plays a vital role in the community. The farmland keeps urban areas from expanding, gives back to the community with its program for Ottawa and District Association for Persons with Developmental Disabilities and grows then sells garlic right on the farm. 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)0.002
metaresearch head score (Gemma)0.002
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 score0.150
Threshold uncertainty score0.502

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0040.001
Open science0.0010.004
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.1500.048

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 head0.026
GPT teacher head0.283
Teacher spread0.256 · 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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