A Survey of Current State of the Practice for Winter Maintenance of Parking Lots and Sidewalks
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 paper describes results from an online survey conducted to investigate and document the current state of practice concerning various aspects of winter maintenance of parking lots and sidewalks within the province of Ontario, Canada. In particular, the use of different materials, maintenance strategies, latest equipment and hurdles to sustainability were explored. The online survey included a total of 30 questions specifically addressing application rates, materials, types of equipment and preferences towards various maintenance strategies. The information obtained from this research represents a unique compilation of the current standard of practice as described by actual field practitioners in the form of answers to carefully designed questions. From a research perspective, the results from the survey are very useful in explaining material usage patterns and exploring potential areas for improvement. Practitioners in the field can compare their practices to those presented in the survey while equipment and material manufacturers can use the results to improve their products and better serve the need of the industry.
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 | 0.010 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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