MétaCan
Menu
← Back to cohort
Record W6891659580 · doi:10.4224/40002016

National Fire Code: Alberta 2019 Edition

2019· standard· en· W6891659580 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2019
Typestandard
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationDemolitionCommissionCode (set theory)Building codeConsistency (knowledge bases)

Abstract

fetched live from OpenAlex

The National Fire Code of Canada 2015, together with the National Building Code of Canada 2015, the National Energy Code of Canada for Buildings 2017 and the National Plumbing Code of Canada 2015, is an objective-based National Model Code that can be adopted by provincial and territorial governments. Codes Canada are developed by the Canadian Commission on Building and Fire Codes (CCBFC). In Canada, provincial and territorial governments have the authority to enact legislation that regulates the following activities within their jurisdictions: • activities related to the construction, use or demolition of buildings and facilities • the condition of specific elements of buildings and facilities • the design or construction of specific elements of facilities related to certain hazards • protection measures for the current or intended use of buildings This legislation may include the adoption of the National Fire Code (NFC) without change or with modifications to suit local needs, and the enactment of other laws and regulations related to these activities, including the requirements for professional involvement. The NFC is a model code that helps promote consistency among provincial and territorial fire codes. By agreement with the National Research Council of Canada, Alberta is committed to using the National Fire Code of Canada as its base documentwith changes andmodifications to suit Alberta’s needs in regulating the fire standards.

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)0.003
metaresearch head score (Gemma)0.011
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: Other · Consensus signal: Other
Teacher disagreement score0.125
Threshold uncertainty score0.419

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.011
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.006
Science and technology studies0.0050.002
Scholarly communication0.0070.002
Open science0.0030.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.1250.090

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 head0.015
GPT teacher head0.277
Teacher spread0.262 · 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
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
Published2019
Admission routes2
Has abstractyes

Explore more

Same venueNPARC→French-language works237,207→