2013 Survey of Commute Patterns among Queen's University Employees
Bibliographic record
Abstract
There is emerging research on the connections between health and active commuting, and on the opportunities presented for active commuting by public transit ridership. In September 2013, the City of Kingston implemented a major improvement to its public transit system through the introduction of "Kingston Express", an express bus route designed to connect residents in the west end of Kingston to the downtown core. The City has implemented these express routes in the hopes that service improvements will increase transit ridership, especially among individuals that work downtown, such as Queen's University employees. Thus, the objective of this survey was to investigate current commute patterns among Queen's employees and to assess whether these recent transit improvements have stimulated interest and willingness among Queen's employees to take Kingston Transit to commute to work. The survey data collected here will also serve as a baseline for subsequent surveys that will assess change in commute patterns to Queen's over time. The findings from this research will offer insights to researchers interested in the impacts of public transit as population health interventions, as well as to Queen's University in terms of understanding how members of their community could make better use of a key public resource in Kingston.
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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 | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.006 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.013 |
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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".