‘Road Smart’: Canada Safety Council Drivers’ Education And Training Tool
Bibliographic record
Abstract
The CSC is a non-profit organisation dedicated to the prevention of injuries and fatalities in Canada. Faced with the rising social problem of unsafe teenage drivers, the organisation developed a drivers' education/training CD-ROM entitled ‘Road Smart’. The product was designed in partnership with Shell Canada, but the company has declined to further support its distribution. Hence, ‘Road Smart’ is now a finished product in search of marketing strategy. Unfortunately, the CD-ROM faces a challenging set of external obstacles that could seriously jeopardise its market potential, and CSC’s ability to breakeven on the venture. CSC’s challenge is to find a suitable distribution and marketing strategy more than three years after the product was initially commissioned. Seemingly, there is much to be optimistic about. First, there is a definite need for this product in the marketplace. Teenage drivers are unduly dangerous as a group. The product is well designed and easy to use, and as such should help alleviate this worrisome predicament. It does satisfy a need, so there is an expectation that both parents and teenagers should value the ‘Road Smart’. Also, considering the lacklustre competition in Canada for driver education material, ‘Road Smart’ should have little problem outshining its direct competitors. Besides, CSC’s reputation and status should also come in handy. The sad fact however is that teenagers do not value the product above CSC’s breakeven price of about ten dollars. This inference is based on the several market realities. Over the last few years, the CD-ROM industry has been in decline to such a degree that the marketplace has become unattractive. Substitutes for
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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.135 | 0.034 |
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".