Bibliographic record
Abstract
INTRODUCTION}.J cording to current Manitoba law, it is illegal to ride a bicycle on the sidewalk.Under s. 145 (8) of The Highway Traffic Act, all cyclists; 'ncluding children, are to ride only on public roads and highways with the other traffic, unless the rear diameter of the bicycle wheel is less than 410 mm.Common sense would seem to dictate that when sharing the roads with motor vehicles, a reasonable bicyclist would wear a helmet.Nevertheless, in Manitoba this is not the case.Despite a concerted government effort promoting bike helmet usage over the past 15 years, only 28% of Manitobans wear bike helmets. 1 In an attempt to substantially increase the use of bicycle helmets in Manitoba, Dr. Jon Gerrard, the MLA for River Heights, introduced legislation to the Manitoba Legislature with Itivate Members' Bill 210, The Highway Traffic Amendment Act (Bicycle Helmets).Essentially, Bill 210 required anyone riding a bicycle on a highway or bicycle path to wear a proper protective helmet.The following paper will examine the circumstances surrounding the Manitoba Legislature's consideration of Bill 210.Areas that will be explored are: the discussion of the bill in the Legislature, the debate surrounding whether or not mandatory bicycle helmet legislation is necessary, where Manitoba currently sits in terms of its need and support of helmet legislation contrasted with those who oppose it, how other provinces have dealt with this issue, and why Bill 210 ultimately did not pass in the Manitoba Legislature.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.009 | 0.004 |
| Insufficient payload (model declined to judge) | 0.044 | 0.037 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".