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IMPACT ON HOME STAIRWAY SAFETY REGULATION IN CANADA: WHEN EVIDENCE AND INDUSTRY-INFLUENCED GOVERNMENT POLICY CLASH

2012· article· en· W2019665410 on OpenAlexaffabout
Jake Pauls, Peter Barss

Bibliographic record

VenueInjury Prevention · 2012
Typearticle
Languageen
FieldEngineering
TopicTraffic and Road Safety
Canadian institutionsInterior Health
Fundersnot available
KeywordsGovernment (linguistics)Human factors and ergonomicsEngineeringPopulationPoison controlOccupational safety and healthEnvironmental healthBusinessOperations managementForensic engineeringPublic relationsMedicinePolitical scienceLaw

Abstract

fetched live from OpenAlex

Background Since about 1940 the National Building Code of Canada (NBCC) has been produced by the National Research Council of Canada (NRCC). However, in recent decades, home stairway design requirements have not been based on the best available research, including NRCC's own. Injury data for Canada's largest province (Ontario) suggest a rate of hospital-admitted stair-related injuries twice that of the USA (30 vs 15 per 100 000 population). Objectives With built environment regulation being a reliable mechanism for stair-related injury prevention, the objective is to improve NBCC requirements. Methods Beginning in the mid 1970s, NRCC research staff attempted to work with NBCC-development committees, both to apply what was scientifically known about stairway safety and to encourage new research. Many research-based, code-change proposals were submitted in 1992. In 2011, the International Conference on Stairway Usability and Safety established consensus on research evidence justifying improved requirements. Outcomes Key proposals from 1992 have not yet been processed. In 2010, several task groups were formed and many recommendations for code changes, on stairways, were drafted. However, task groups report to a committee that, since the 1970s, has been dominated by home builders highly resistant to changes. Significance NBCC-development policies and procedures, increasingly influenced by an industry-dominated Canadian Federal Government, pose old and new impediments to improved home design requirements and reduced, stairway-related injury tolls.

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)0.062
metaresearch head score (Gemma)0.176
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.986
Threshold uncertainty score0.739

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0620.176
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0090.016
Science and technology studies0.0140.016
Scholarly communication0.0190.008
Open science0.0060.009
Research integrity0.0070.013
Insufficient payload (model declined to judge)0.0060.000

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 head0.011
GPT teacher head0.258
Teacher spread0.247 · 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 designQualitative
Domainnot available
GenreEmpirical

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
Published2012
Admission routes2
Has abstractyes

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