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Record W2806628031 · doi:10.3386/w24644

Do 'All-Age' Bicycle Helmet Laws Work? Evidence from Canada

2018· report· en· W2806628031 on OpenAlexafffundabout
Christopher Carpenter, Casey Warman

Bibliographic record

VenueNational Bureau of Economic Research · 2018
Typereport
Languageen
FieldMedicine
TopicInjury Epidemiology and Prevention
Canadian institutionsDalhousie University
FundersSocial Sciences and Humanities Research Council of CanadaCanadian Institutes of Health ResearchDalhousie University
KeywordsWork (physics)LawPolitical scienceEngineeringMechanical engineering

Abstract

fetched live from OpenAlex

The results in this paper are based on confidential versions of the National Population Health Surveys and the Canadian Community Health Surveys.Readers interested in obtaining access can contact the authors for directions.The analysis presented in this paper was mainly conducted at the Atlantic Research Data Centre which is part of the Canadian Research Data Centre Network (CRDCN).The services and activities provided by the Atlantic Research Data Centre are made possible by the financial or in-kind support of the SSHRC, the CIHR, the CFI, Statistics Canada and Dalhousie University.The views expressed in this paper do not necessarily represent the CRDCN or those of its partners.We are also grateful to RDC analyst Heather Hobson for her assistance,

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)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.162

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.005
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.538
GPT teacher head0.580
Teacher spread0.042 · 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 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

Citations2
Published2018
Admission routes3
Has abstractyes

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