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Record W6950628051 · doi:10.5683/sp3/cqhgee

Homeowner Repair and Renovation Survey and Home Energy Retrofit Survey, 1995 [Canada]

2023· dataset· en· W6950628051 on OpenAlexaboutno aff

Bibliographic record

VenueBorealis · 2023
Typedataset
Languageen
FieldPhysics and Astronomy
TopicParticle Detector Development and Performance
Canadian institutionsnot available
Fundersnot available
KeywordsMicrodata (statistics)Survey data collectionCensusPublic useWork (physics)High energy

Abstract

fetched live from OpenAlex

This public-use microdata file combines data from the Homeowner Repair and Renovation Survey (funded by Canada Mortgage and Housing Corporation, Natural Resources Canada and Statistics Canada) and data from the Home Energy Retrofit Survey (funded by Natural Resources Canada). The surveys were carried out in March 1996 as a supplement to the Labour Force Survey and refer to the previous calendar year 1995. These surveys provide information about homeowners living in private households in the ten provinces of Canada. The file includes data for expenditures on: improving and maintaining homes; renovations and alterations; contract work; materials i.e. doors, windows, eavestroughing; additions such as rooms, garages or landscaping; painting, plumbing or re-roofing; and heating and air-conditioning equipment. Only homeowners who owned and occupied the current dwelling for 12 months in 1995 are included on this file. This is a change from the 1994 version of the file.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Dataset · Consensus signal: Dataset
Teacher disagreement score0.370
Threshold uncertainty score0.959

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.021
GPT teacher head0.234
Teacher spread0.214 · 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 teacher head, 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
Published2023
Admission routes1
Has abstractyes

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