Compliance of bathers to showering before swimming in a public pool in Toronto, Ontario
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
Bathers at public swimming pools should shower prior to entering the pool deck to remove organic material (e.g., sweat, lotions, fecal matter) that can increase the risk of recreational water illness and the formation of disinfection by-products. However, little research has been conducted to evaluate bathers’ pre-swimming showering practices. We conducted a cross-sectional study of bathers aged 18 years or older at a public swimming pool in Toronto, Ontario, to evaluate their showering habits. An in-person questionnaire was administered in October and November 2019. Bivariate associations were examined between selected variables and participants’ self-reported showering frequency prior to swimming (often or always vs. never, rarely, or sometimes). A total of 110 bathers agreed to participate. Most participants (63%) were aged 18–34, 56% identified as male, and 78.2% reported always or often showering before swimming. Of these individuals, only 34% reported using soap when showering. Participants that identified as male (vs. female) and an ethnicity other than white were more likely to report often or always showering, as were those that reported reading the pool rules and that observed other bathers taking a shower. Additional efforts are needed to educate bathers about the importance of showering prior to swimming in public pools.
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) | 0.004 | 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