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Record W6891556769 · doi:10.4224/40002971

Examen public 2022: PDF combiné des modifications proposées

2022· standard· en· W6891556769 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2022
Typestandard
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCommissionChristian ministryCode (set theory)Process (computing)Government (linguistics)

Abstract

fetched live from OpenAlex

Once proposed changes to the National Model Codes publications are recommended by the relevant standing committee(s), the Canadian Commission on Building and Fire Codes invites Code users and stakeholders to participate in the review of those changes during public review periods. The public review process provides code users and stakeholders with a detailed look at the proposed changes being considered and an opportunity to comment on whether the proposed changes should be approved, modified or withdrawn. Comments received can also inform improvements to the proposed changes being considered. Public reviews are held on-line up to three times annually, and span over two months. As the provinces and territories sometimes hold their own public reviews on proposed changes to provincial or territorial codes, please check with your provincial or territorial ministry responsible for construction codes.

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)0.006
metaresearch head score (Gemma)0.032
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.646
Threshold uncertainty score0.505

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.032
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0020.001
Scholarly communication0.0080.006
Open science0.0020.004
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.6460.646

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 head0.054
GPT teacher head0.285
Teacher spread0.231 · 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.

Study designNot applicable
Domainnot available
GenreOther

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

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