Lobbying in British Columbia's designated resort municipalities : the case of short term rentals
Bibliographic record
Abstract
This thesis focuses on the subject of short-term rentals and their host companies, such as Airbnb, to study the influence of business interests at the local level of government in British Columbia. Worldwide, these companies and their listings have grown exponentially in the last five years, but not without controversy, as they have met up against tenant rights groups, municipalities, and hotel associations who are upset about its effects on housing, neighborhoods and the traditional accommodation sector. Government regulations and municipal policy making are examined to understand the power of lobbying in this context. The lobbying efforts of both Airbnb and the hotel/motel associations are investigated and analyzed, from data collected from both interviews and a survey of local officials in British Columbia’s fourteen designated resort municipalities. The findings confirm that lobbying in municipalities is very active, but the practices are distinct from other levels of government. Recommendations include a lobbyist registrar at the local level to foster transparency and accountability, and a new way of looking at how all levels of government ought to approach regulating the new normal of online platform industries.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.021 | 0.007 |
| Scholarly communication | 0.007 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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; 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".