Wi-Fi Usage Data in City of Toronto Community Centres
Bibliographic record
Abstract
These datasets are for a research paper titled "Providing an Access Point: A socio-spatial analysis of free public Wi-Fi use in City of Toronto community centres." This paper presents results of research into socio-spatial determinants of the public's use of free municipal Wi-Fi in City of Toronto community centres. A mixed-methods approach consisting of in-person surveys, a facility design checklist, and face-to-face discussions with community centre visitors was undertaken at 15 City of Toronto community centres between June and July 2025. The results highlight no statistical correlation between visitor use of free public Wi-Fi and proximity or mode of travel to community centres, but strong correlations between the amount of time spent on Wi-Fi and the types of online tasks users engage in. These results help to resolve gaps in scholarship concerning determinants of Wi-Fi use in municipal facilities inclusive of physical space characteristics, as well as users' perceptions towards the broader value of free public Wi-Fi.
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 | 0.015 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.025 | 0.014 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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".