The availability of smoking-permitted accommodations from Airbnb in 12 Canadian cities
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
PURPOSE: Airbnb is a web-based peer-to-peer (P2P) service that enables potential hosts and guests to broker accommodations in private homes as an alternative to traditional hotels. The hospitality sector has increasingly gone smoke-free over the last decade. This study identified the availability and cost of smoking-permitted accommodations identified on Airbnb. METHODS: The study team searched for Airbnb accommodations in 12 Canadian cities across each of Canada's 10 provinces. Searches included availability for a single person for a private room, or double occupancy for an entire home/apartment; searches were for 1-night and 1-week stays. RESULTS: Cities across Canada, including Regina, Fredericton and Charlottetown, had no smoking-permitted accommodations available for the searches conducted. The proportion of private rooms available for one night that permitted smoking ranged from 2% in Calgary, 4% in Winnipeg and St. John's, 10% in Halifax and Victoria, 18% in Toronto, 45% in Vancouver and 69% in Montréal. The average cost for a private room for one night in Vancouver was $128, while the cost for a private room that permits smoking was $62; however, in other markets prices were more similar. DISCUSSION: Across Canada, there is a wide range of smoking-permitted accommodations available through Airbnb. In some markets, smoking-permitted accommodation may be significantly less expensive than smoke-free options. As hotel chains increasingly go smoke-free, it is possible that the marketplace will respond with offerings to fulfil consumer demand. As policy makers consider how to regulate P2P services like Airbnb, public health considerations should be included.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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