Ride Forward – An Evaluation of Cycling in Two Ottawa Neighborhoods
Bibliographic record
Abstract
Outdoor cycling (bicycling) is a low-impact form of exercise that improves cardiovascular fitness, muscle tone, range of motion and flexibility. It is an activity that may be beneficial to one’s physical, emotional, and mental health and well-being. The benefits to one’s social and emotional health and wellness may be derived from the social networking associated with being a member of a cycling community. The purpose of this project is to provide recommendations to improve the current and future state of cycling in the Sandy Hill Community Centre’s catchment areas of Old Ottawa East and Sandy Hill, two communities in Ottawa, Ontario, Canada. A preliminary needs assessment was conducted, and recommendations were generated from the information gathered. In order to begin the needs assessment we required much information, such as the opinions and attitudes of community members regarding cycling. Through the extensive research of other current programs and groups of- fered both in Ottawa and other cities such as Montreal, Quebec, Canada and Portland, Oregon, United States we have found that the best cities provide a wide-range of cycling utilities for its citizens to accommodate different lifestyles. From the general knowledge that we gained from the research of other cities we designed a survey to identify the specific needs of Ottawa, and more specifically our target population of Sandy Hill and Old Ottawa East catchments areas. Information was then synthesized into a list of recommendations, as well as solutions to current problems. The recommendations generated from the data gathered from the needs assessment include the development of various community programs, such as a cycling resource centre, cycling buddy system, cycling groups, safe-cycling education, and a bike share initiative. The data gathered from the needs assessment also indicated a priority need for the regular maintenance of roads and bicycle lanes.
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 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 | 0.083 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.000 | 0.005 |
| Open science | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; both teacher heads 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".