Bibliographic record
Abstract
Last five years have witnessed the birth and rapid sprawl of Airbnb, an app that offers short-term rentals across the world. Using as a case study the Historical quarter in Palma (Mallorca), the paper problematizes three of the basic selfcreated Airbnb assumptions: (i) Airbnb enrich low-income population. (ii) Airbnb invigorates the housing market (iii) Airbnb boost forms of tourism more acceptable by local residents. This paper argues that the emergence of Airbnb is triggering a wave of tourism led-gentrification which is rooted in a substitution of the residential rental by a tourism rental market. This substitution has amongst other, three main consequences which are analysed in this paper. First, the eruption of tourism-oriented rentals as the main, if not only, form of land rent in this quarter. Second, the consolidation of large landowners and real estate agencies specialized on the Airbnb market. Third, an increase in the social contestation against tourism in Palma Old Quarter.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.001 |
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".