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Record W2134021294 · doi:10.1136/ip.2010.029215.882

Advocating for safer products in Canada

2010· article· en· W2134021294 on OpenAlexaffabout
P Fuselli

Bibliographic record

VenueInjury Prevention · 2010
Typearticle
Languageen
FieldPsychology
TopicSafety Warnings and Signage
Canadian institutionsTD Bank Group
Fundersnot available
KeywordsLegislationProduct (mathematics)SAFERProduct liabilityBusinessGovernment (linguistics)Consumer safetyConsumer protectionOccupational safety and healthCommissionPoison controlEnvironmental healthMarketingLiabilityMedicineLawFinanceRisk analysis (engineering)Computer securityCommercePolitical science

Abstract

fetched live from OpenAlex

Injuries to children from use of consumer products are common, frequently serious & sometimes fatal. Survey results show that the vast majority of Canadians believe that if a product is available for sale on the market, it is safe or has been adequately tested for safety. In Canada, this is not necessarily the case since many products, including substandard imports, can pose a dangerous risk of injury. In Canada, there are more than 18 000 annual emergency room visits for children as a result of product related injuries. Canada's current consumer product safety legislation is over 40 years old. Bill C-6, the proposed new Canadian consumer product safety legislation, is a positive step that includes three main pillars; active prevention, targeted oversight & rapid response to enforce mandatory recall of hazardous products. Changes to current legislation would renew, enhance & modernise consumer product safety in Canada to better reflect the globalise marketplace and be consistent with societal & consumer expectations for health and safety. The United States recently renewed product safety legislation with The Consumer Product Safety Improvement Act 2008. The US Consumer Product Safety Commission is currently working with industry on effective implementation. Safe Kids Canada has worked to support the passage of Bill C-6 while industry & special interest groups have strenuously lobbied government & the Senate for amendments that weaken the proposed legislation. This presentation will review experiences, successes and challenges in Canada & the United States in advocating & implementing for safer consumer products through renewed legislation.

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score0.714

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0010.000

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 head0.018
GPT teacher head0.312
Teacher spread0.294 · 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 designObservational
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
Published2010
Admission routes2
Has abstractyes

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