Restraint System Usage in the Traffic Population. 1984 Annual Report
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This report presents findings from four independent studies on occupant restraint use for various segments of the traffic population. Field observations, collected in 19 U.S. cities from January through December, 1984, are the basis for this report. The four studies and their findings are as follows: (1) Driver Safety Belt Use: A total of 130,207 drivers stopped for traffic signals were observed during the 12 month period. 15.3 percent were observed to wear safety belts during the last data collection period (July to December). (2) Passenger Safety Belt and Child Safety Seat Use: Findings from this study are based on 108,076 passengers observed at shopping mall entrances and exists. Child safety seat usage (for infants and toddlers) increased throughout 1984, reaching a high in the third quarter (July to December) of 49.3 percent. The percent of toddlers, subteens, teens, and adults wearing safety belts during the third quarter was observed to be 8.1, 15.2, 7.2, and 13.4 percent, respectively. (3) Safety Seat Installation Characteristics: Observations were recorded on a total of 3,476 child safety seats in vehicles parked at shopping malls and 88.1 percent were observed in the toddler mode. For toddler seats that require securing by only the vehicle safety belt, 56.4 percent were used correctly. However, only 8.7 percent of toddler seats that require the safety belt and tether were used correctly. (4) Helmet Use by Operators and Passengers of Motorcycles and Mopeds: Driver and passenger helmet use was observed to be 66.6 and 54.0 percent, respectively, for 14,898 motorcycle observations. Moped observations totalled 1,085 and helmet use among drivers and passengers was observed to be 42.1 and 35.0 percent, respectively. /Abstract from report summary page/
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it