CITY IMPLEMENTS CONTINUOUS PROCESS IMPROVEMENT IN ROADWAYS SECTION
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 article describes the implementation of a continuous process improvement methodology by the Roadways Branch of the City of Saskatoon, Saskatchewan. It focuses on the critical success factors and the major initiatives of the project. The project involved three primary processes: 1) developing a business process for improving work methods; 2) validating the process using MMS data from the City of Saskatoon; and, 3) preparing a Continuous Process Improvement Training Packing and training session using actual city data. Factors affecting the selection of an activity include its relative cost, consistency between crews in performing an activity, the impact that the activity has on the program, and the time since the activity was last reviewed. Four work activities were studied using the controlled continual improvement process and recommendations were then developed and presented to city officials. The activities included: Concrete sidewalk replacements; pothole patching; snow loading and removal; and, maintenance of utility costs.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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