North West Sector and Chris Bainbridge is chair of the London Borough Cycle Officers Group.
Bibliographic record
Abstract
year to complete, however we have made significant advances in the design and consultation of such schemes. We have in the past carried out CRISP stud-ies; though have more to do in the coming year. These will prove useful tools in plan-ning the final years of the LCN+ project in LB Hammersmith and Fulham and will also help cement a relationship with HFCyclists, the local branch of the LCC. TfL's "Towards the year 2010: monitoring casualties " stated that pedal cycle casualties in LBHF were down by 19 % on the 1994-98 average; this is despite the large increase in cycling taking place. We hope that this will continue as a trend and we can maintain both accident reduction and a growth in cyclist figures. At LB Hammersmith and Fulham we have a small team dedicated to design and overseeing the implem-entation of LCN+ schemes. I am Sector Leader in the
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.503 | 0.191 |
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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".