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Record W6894392064 · doi:10.5683/sp2/rvsytp

The Log Farm (House) - Integrated Project Dossier (2016)

2020· dataset· en· W6894392064 on OpenAlexaffabout

Bibliographic record

VenueBorealis · 2020
Typedataset
Languageen
Field
Topic
Canadian institutionsCarleton University
Fundersnot available
KeywordsSituatedSustainabilityVernacularArchitectureWhite (mutation)Vernacular architectureLand use

Abstract

fetched live from OpenAlex

The Log Farm House is a two-storey white ash log house built between 1854 and 1857. It is located at 670 Cedarview Rd, Nepean in the Greenbelt. Situated between urban Bells Corners and Barrhaven, the site finds itself in a condensed rural landscape. This property is owned and managed by the NCC and site custodian Ryan Orr. The log farmhouse has architectural, environmental, and historic value. It is a fine example of early Canadian vernacular architecture and is one of the few remaining examples of this style in the Ottawa Valley. This home is also valued for its association with the lifestyle of early settlers, in particular the Bradley family. The farm is valued for the land it sits on which was farmed for a long period of time. The land is no longer farmed but is used as a pasture for farm animals and walking trails. This property is now used as a sugarbush and a museum that is open to visitors on weekends. 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)0.003
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: Dataset
Teacher disagreement score0.123
Threshold uncertainty score0.245

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.006
Science and technology studies0.0010.000
Scholarly communication0.0020.001
Open science0.0020.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0270.047

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 head0.030
GPT teacher head0.289
Teacher spread0.259 · 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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